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5b600176-80e2-4ffd-b835-0bfa00229eea
CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
unknown
283c4642-c975-4de3-af92-ac1ce0b3affc
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be *indexed* (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one:: >>> word = 'Python' >>> word[0] # character in position 0 'P' >>> word[5] # character in position 5 'n'
trusted_official_docs
CPython Docs
be *indexed* (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one:: >>> word = 'Python' >>> word[0] # character in position 0 'P' >>> word[5] # character in position 5 'n'
be *indexed* (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one:: >>> word = 'Python' >>> word[0] # character in position 0 'P' >>> word[5] # character in position 5 'n'
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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# add the cube of 6 >>> cubes.append(7 ** 3) # and the cube of 7 >>> cubes [1, 8, 27, 64, 125, 216, 343] Simple assignment in Python never copies data. When you assign a list to a variable, the variable refers to the *existing list*. Any changes you make to the list through one variable will be seen through all other v...
trusted_official_docs
CPython Docs
# add the cube of 6 >>> cubes.append(7 ** 3) # and the cube of 7 >>> cubes [1, 8, 27, 64, 125, 216, 343] Simple assignment in Python never copies data. When you assign a list to a variable, the variable refers to the *existing list*. Any changes you make to the list through one variable will be seen through all other v...
# add the cube of 6 >>> cubes.append(7 ** 3) # and the cube of 7 >>> cubes [1, 8, 27, 64, 125, 216, 343] Simple assignment in Python never copies data. When you assign a list to a variable, the variable refers to the *existing list*. Any changes you make to the list through one variable will be seen through all other v...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
unknown
283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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This feature is particularly useful when you want to break long strings:: >>> text = ('Put several strings within parentheses ' ... 'to have them joined together.') >>> text 'Put several strings within parentheses to have them joined together.'
trusted_official_docs
CPython Docs
This feature is particularly useful when you want to break long strings:: >>> text = ('Put several strings within parentheses ' ... 'to have them joined together.') >>> text 'Put several strings within parentheses to have them joined together.'
This feature is particularly useful when you want to break long strings:: >>> text = ('Put several strings within parentheses ' ... 'to have them joined together.') >>> text 'Put several strings within parentheses to have them joined together.'
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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higher precedence than ``-``, ``-3**2`` will be interpreted as ``-(3**2)`` and thus result in ``-9``. To avoid this and get ``9``, you can use ``(-3)**2``. .. [#] Unlike other languages, special characters such as ``\n`` have the same meaning with both single (``'...'``) and double (``"..."``) quotes. The only differe...
trusted_official_docs
CPython Docs
higher precedence than ``-``, ``-3**2`` will be interpreted as ``-(3**2)`` and thus result in ``-9``. To avoid this and get ``9``, you can use ``(-3)**2``. .. [#] Unlike other languages, special characters such as ``\n`` have the same meaning with both single (``'...'``) and double (``"..."``) quotes. The only differe...
higher precedence than ``-``, ``-3**2`` will be interpreted as ``-(3**2)`` and thus result in ``-9``. To avoid this and get ``9``, you can use ``(-3)**2``. .. [#] Unlike other languages, special characters such as ``\n`` have the same meaning with both single (``'...'``) and double (``"..."``) quotes. The only differe...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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supabase-export-v2
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don't want characters prefaced by ``\`` to be interpreted as special characters, you can use *raw strings* by adding an ``r`` before the first quote:: >>> print('C:\this\name') # here \t means tab, \n means newline C: his ame >>> print(r'C:\this\name') # note the r before the quote C:\this\name
trusted_official_docs
CPython Docs
don't want characters prefaced by ``\`` to be interpreted as special characters, you can use *raw strings* by adding an ``r`` before the first quote:: >>> print('C:\this\name') # here \t means tab, \n means newline C: his ame >>> print(r'C:\this\name') # note the r before the quote C:\this\name
don't want characters prefaced by ``\`` to be interpreted as special characters, you can use *raw strings* by adding an ``r`` before the first quote:: >>> print('C:\this\name') # here \t means tab, \n means newline C: his ame >>> print(r'C:\this\name') # note the r before the quote C:\this\name
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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supabase-export-v2
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a float. To do :term:`floor division` and get an integer result you can use the ``//`` operator; to calculate the remainder you can use ``%``:: >>> 17 / 3 # classic division returns a float 5.666666666666667 >>> >>> 17 // 3 # floor division discards the fractional part 5 >>> 17 % 3 # the % operator returns the rem...
trusted_official_docs
CPython Docs
a float. To do :term:`floor division` and get an integer result you can use the ``//`` operator; to calculate the remainder you can use ``%``:: >>> 17 / 3 # classic division returns a float 5.666666666666667 >>> >>> 17 // 3 # floor division discards the fractional part 5 >>> 17 % 3 # the % operator returns the rem...
a float. To do :term:`floor division` and get an integer result you can use the ``//`` operator; to calculate the remainder you can use ``%``:: >>> 17 / 3 # classic division returns a float 5.666666666666667 >>> >>> 17 // 3 # floor division discards the fractional part 5 >>> 17 % 3 # the % operator returns the rem...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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>>> prefix + 'thon' 'Python' Strings can be *indexed* (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one::
trusted_official_docs
CPython Docs
>>> prefix + 'thon' 'Python' Strings can be *indexed* (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one::
>>> prefix + 'thon' 'Python' Strings can be *indexed* (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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283c4642-c975-4de3-af92-ac1ce0b3affc
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This only works with two literals though, not with variables or expressions:: >>> prefix = 'Py' >>> prefix 'thon' # can't concatenate a variable and a string literal File "<stdin>", line 1 prefix 'thon' ^^^^^^ SyntaxError: invalid syntax >>> ('un' * 3) 'ium' File "<stdin>", line 1 ('un' * 3) 'ium' ^^^^^ Synta...
trusted_official_docs
CPython Docs
This only works with two literals though, not with variables or expressions:: >>> prefix = 'Py' >>> prefix 'thon' # can't concatenate a variable and a string literal File "<stdin>", line 1 prefix 'thon' ^^^^^^ SyntaxError: invalid syntax >>> ('un' * 3) 'ium' File "<stdin>", line 1 ('un' * 3) 'ium' ^^^^^ Synta...
This only works with two literals though, not with variables or expressions:: >>> prefix = 'Py' >>> prefix 'thon' # can't concatenate a variable and a string literal File "<stdin>", line 1 prefix 'thon' ^^^^^^ SyntaxError: invalid syntax >>> ('un' * 3) 'ium' File "<stdin>", line 1 ('un' * 3) 'ium' ^^^^^ Synta...
python, official-docs, cpython, P0
Local_Trusted_Corpus
6fdabfd0-c462-4917-901c-08a06d42f714
CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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line 1 prefix 'thon' ^^^^^^ SyntaxError: invalid syntax >>> ('un' * 3) 'ium' File "<stdin>", line 1 ('un' * 3) 'ium' ^^^^^ SyntaxError: invalid syntax If you want to concatenate variables or a variable and a literal, use ``+``::
trusted_official_docs
CPython Docs
line 1 prefix 'thon' ^^^^^^ SyntaxError: invalid syntax >>> ('un' * 3) 'ium' File "<stdin>", line 1 ('un' * 3) 'ium' ^^^^^ SyntaxError: invalid syntax If you want to concatenate variables or a variable and a literal, use ``+``::
line 1 prefix 'thon' ^^^^^^ SyntaxError: invalid syntax >>> ('un' * 3) 'ium' File "<stdin>", line 1 ('un' * 3) 'ium' ^^^^^ SyntaxError: invalid syntax If you want to concatenate variables or a variable and a literal, use ``+``::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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Some examples:: # this is the first comment spam = 1 # and this is the second comment # ... and now a third! text = "# This is not a comment because it's inside quotes."
trusted_official_docs
CPython Docs
Some examples:: # this is the first comment spam = 1 # and this is the second comment # ... and now a third! text = "# This is not a comment because it's inside quotes."
Some examples:: # this is the first comment spam = 1 # and this is the second comment # ... and now a third! text = "# This is not a comment because it's inside quotes."
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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The keyword argument *end* can be used to avoid the newline after the output, or end the output with a different string:: >>> a, b = 0, 1 >>> while a < 1000: ... print(a, end=',') ... a, b = b, a+b ... 0,1,1,2,3,5,8,13,21,34,55,89,144,233,377,610,987,
trusted_official_docs
CPython Docs
The keyword argument *end* can be used to avoid the newline after the output, or end the output with a different string:: >>> a, b = 0, 1 >>> while a < 1000: ... print(a, end=',') ... a, b = b, a+b ... 0,1,1,2,3,5,8,13,21,34,55,89,144,233,377,610,987,
The keyword argument *end* can be used to avoid the newline after the output, or end the output with a different string:: >>> a, b = 0, 1 >>> while a < 1000: ... print(a, end=',') ... a, b = b, a+b ... 0,1,1,2,3,5,8,13,21,34,55,89,144,233,377,610,987,
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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It is possible to nest lists (create lists containing other lists), for example:: >>> a = ['a', 'b', 'c'] >>> n = [1, 2, 3] >>> x = [a, n] >>> x [['a', 'b', 'c'], [1, 2, 3]] >>> x[0] ['a', 'b', 'c'] >>> x[0][1] 'b'
trusted_official_docs
CPython Docs
It is possible to nest lists (create lists containing other lists), for example:: >>> a = ['a', 'b', 'c'] >>> n = [1, 2, 3] >>> x = [a, n] >>> x [['a', 'b', 'c'], [1, 2, 3]] >>> x[0] ['a', 'b', 'c'] >>> x[0][1] 'b'
It is possible to nest lists (create lists containing other lists), for example:: >>> a = ['a', 'b', 'c'] >>> n = [1, 2, 3] >>> x = [a, n] >>> x [['a', 'b', 'c'], [1, 2, 3]] >>> x[0] ['a', 'b', 'c'] >>> x[0][1] 'b'
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
unknown
283c4642-c975-4de3-af92-ac1ce0b3affc
52,984
supabase-export-v2
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type :class:`int`, the ones with a fractional part (e.g. ``5.0``, ``1.6``) have type :class:`float`. We will see more about numeric types later in the tutorial. Division (``/``) always returns a float. To do :term:`floor division` and get an integer result you can use the ``//`` operator; to calculate the remainder you...
trusted_official_docs
CPython Docs
type :class:`int`, the ones with a fractional part (e.g. ``5.0``, ``1.6``) have type :class:`float`. We will see more about numeric types later in the tutorial. Division (``/``) always returns a float. To do :term:`floor division` and get an integer result you can use the ``//`` operator; to calculate the remainder you...
type :class:`int`, the ones with a fractional part (e.g. ``5.0``, ``1.6``) have type :class:`float`. We will see more about numeric types later in the tutorial. Division (``/``) always returns a float. To do :term:`floor division` and get an integer result you can use the ``//`` operator; to calculate the remainder you...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
unknown
283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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All slice operations return a new list containing the requested elements. This means that the following slice returns a :ref:`shallow copy <shallow_vs_deep_copy>` of the list:: >>> correct_rgba = rgba[:] >>> correct_rgba[-1] = "Alpha" >>> correct_rgba ["Red", "Green", "Blue", "Alpha"] >>> rgba ["Red", "Green", "Bl...
trusted_official_docs
CPython Docs
All slice operations return a new list containing the requested elements. This means that the following slice returns a :ref:`shallow copy <shallow_vs_deep_copy>` of the list:: >>> correct_rgba = rgba[:] >>> correct_rgba[-1] = "Alpha" >>> correct_rgba ["Red", "Green", "Blue", "Alpha"] >>> rgba ["Red", "Green", "Bl...
All slice operations return a new list containing the requested elements. This means that the following slice returns a :ref:`shallow copy <shallow_vs_deep_copy>` of the list:: >>> correct_rgba = rgba[:] >>> correct_rgba[-1] = "Alpha" >>> correct_rgba ["Red", "Green", "Blue", "Alpha"] >>> rgba ["Red", "Green", "Bl...
python, official-docs, cpython, P0
Local_Trusted_Corpus
891f9a0a-8c09-4ad4-a6d4-57d68cfb0fc4
CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
unknown
283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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"Green", "Blue"] >>> rgba = rgb >>> id(rgb) == id(rgba) # they reference the same object True >>> rgba.append("Alph") >>> rgb ["Red", "Green", "Blue", "Alph"] All slice operations return a new list containing the requested elements. This means that the following slice returns a :ref:`shallow copy <shallow_vs_deep_copy>...
trusted_official_docs
CPython Docs
"Green", "Blue"] >>> rgba = rgb >>> id(rgb) == id(rgba) # they reference the same object True >>> rgba.append("Alph") >>> rgb ["Red", "Green", "Blue", "Alph"] All slice operations return a new list containing the requested elements. This means that the following slice returns a :ref:`shallow copy <shallow_vs_deep_copy>...
"Green", "Blue"] >>> rgba = rgb >>> id(rgb) == id(rgba) # they reference the same object True >>> rgba.append("Alph") >>> rgb ["Red", "Green", "Blue", "Alph"] All slice operations return a new list containing the requested elements. This means that the following slice returns a :ref:`shallow copy <shallow_vs_deep_copy>...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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>>> # 3 times 'un', followed by 'ium' >>> 3 * 'un' + 'ium' 'unununium' Two or more *string literals* (i.e. the ones enclosed between quotes) next to each other are automatically concatenated. ::
trusted_official_docs
CPython Docs
>>> # 3 times 'un', followed by 'ium' >>> 3 * 'un' + 'ium' 'unununium' Two or more *string literals* (i.e. the ones enclosed between quotes) next to each other are automatically concatenated. ::
>>> # 3 times 'un', followed by 'ium' >>> 3 * 'un' + 'ium' 'unununium' Two or more *string literals* (i.e. the ones enclosed between quotes) next to each other are automatically concatenated. ::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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>>> word[:2] + word[2:] 'Python' >>> word[:4] + word[4:] 'Python' One way to remember how slices work is to think of the indices as pointing *between* characters, with the left edge of the first character numbered 0. Then the right edge of the last character of a string of *n* characters has index *n*, for example::
trusted_official_docs
CPython Docs
>>> word[:2] + word[2:] 'Python' >>> word[:4] + word[4:] 'Python' One way to remember how slices work is to think of the indices as pointing *between* characters, with the left edge of the first character numbered 0. Then the right edge of the last character of a string of *n* characters has index *n*, for example::
>>> word[:2] + word[2:] 'Python' >>> word[:4] + word[4:] 'Python' One way to remember how slices work is to think of the indices as pointing *between* characters, with the left edge of the first character numbered 0. Then the right edge of the last character of a string of *n* characters has index *n*, for example::
python, official-docs, cpython, P0
Local_Trusted_Corpus
965b9994-50a2-4c70-a2fe-0b0e1ed6d20a
CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
unknown
283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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double quotes instead "doesn't" >>> '"Yes," they said.' '"Yes," they said.' >>> "\"Yes,\" they said." '"Yes," they said.' >>> '"Isn\'t," they said.' '"Isn\'t," they said.' In the Python shell, the string definition and output string can look different. The :func:`print` function produces a more readable output, by omit...
trusted_official_docs
CPython Docs
double quotes instead "doesn't" >>> '"Yes," they said.' '"Yes," they said.' >>> "\"Yes,\" they said." '"Yes," they said.' >>> '"Isn\'t," they said.' '"Isn\'t," they said.' In the Python shell, the string definition and output string can look different. The :func:`print` function produces a more readable output, by omit...
double quotes instead "doesn't" >>> '"Yes," they said.' '"Yes," they said.' >>> "\"Yes,\" they said." '"Yes," they said.' >>> '"Isn\'t," they said.' '"Isn\'t," they said.' In the Python shell, the string definition and output string can look different. The :func:`print` function produces a more readable output, by omit...
python, official-docs, cpython, P0
Local_Trusted_Corpus
9ce0ca82-b89a-47f6-8575-8ea9ec3b8a1d
CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
unknown
283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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right-hand side are all evaluated first before any of the assignments take place. The right-hand side expressions are evaluated from the left to the right. * The :keyword:`while` loop executes as long as the condition (here: ``a < 10``) remains true. In Python, like in C, any non-zero integer value is true; zero is f...
trusted_official_docs
CPython Docs
right-hand side are all evaluated first before any of the assignments take place. The right-hand side expressions are evaluated from the left to the right. * The :keyword:`while` loop executes as long as the condition (here: ``a < 10``) remains true. In Python, like in C, any non-zero integer value is true; zero is f...
right-hand side are all evaluated first before any of the assignments take place. The right-hand side expressions are evaluated from the left to the right. * The :keyword:`while` loop executes as long as the condition (here: ``a < 10``) remains true. In Python, like in C, any non-zero integer value is true; zero is f...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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>>> word[0:2] # characters from position 0 (included) to 2 (excluded) 'Py' >>> word[2:5] # characters from position 2 (included) to 5 (excluded) 'tho' Slice indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced. ::
trusted_official_docs
CPython Docs
>>> word[0:2] # characters from position 0 (included) to 2 (excluded) 'Py' >>> word[2:5] # characters from position 2 (included) to 5 (excluded) 'tho' Slice indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced. ::
>>> word[0:2] # characters from position 0 (included) to 2 (excluded) 'Py' >>> word[2:5] # characters from position 2 (included) to 5 (excluded) 'tho' Slice indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced. ::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/introduction.rst
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283c4642-c975-4de3-af92-ac1ce0b3affc
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supabase-export-v2
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4 >>> 50 - 5*6 20 >>> (50 - 5*6) / 4 5.0 >>> 8 / 5 # division always returns a floating-point number 1.6 The integer numbers (e.g. ``2``, ``4``, ``20``) have type :class:`int`, the ones with a fractional part (e.g. ``5.0``, ``1.6``) have type :class:`float`. We will see more about numeric types later in the tutorial.
trusted_official_docs
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4 >>> 50 - 5*6 20 >>> (50 - 5*6) / 4 5.0 >>> 8 / 5 # division always returns a floating-point number 1.6 The integer numbers (e.g. ``2``, ``4``, ``20``) have type :class:`int`, the ones with a fractional part (e.g. ``5.0``, ``1.6``) have type :class:`float`. We will see more about numeric types later in the tutorial.
4 >>> 50 - 5*6 20 >>> (50 - 5*6) / 4 5.0 >>> 8 / 5 # division always returns a floating-point number 1.6 The integer numbers (e.g. ``2``, ``4``, ``20``) have type :class:`int`, the ones with a fractional part (e.g. ``5.0``, ``1.6``) have type :class:`float`. We will see more about numeric types later in the tutorial.
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First Steps Towards Programming =============================== Of course, we can use Python for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the `Fibonacci series <https://en.wikipedia.org/wiki/Fibonacci_sequence>`_ as follows::
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First Steps Towards Programming =============================== Of course, we can use Python for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the `Fibonacci series <https://en.wikipedia.org/wiki/Fibonacci_sequence>`_ as follows::
First Steps Towards Programming =============================== Of course, we can use Python for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the `Fibonacci series <https://en.wikipedia.org/wiki/Fibonacci_sequence>`_ as follows::
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.. index:: single: # (hash); comment Many of the examples in this manual, even those entered at the interactive prompt, include comments. Comments in Python start with the hash character, ``#``, and extend to the end of the physical line. A comment may appear at the start of a line or following whitespace or code, but ...
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.. index:: single: # (hash); comment Many of the examples in this manual, even those entered at the interactive prompt, include comments. Comments in Python start with the hash character, ``#``, and extend to the end of the physical line. A comment may appear at the start of a line or following whitespace or code, but ...
.. index:: single: # (hash); comment Many of the examples in this manual, even those entered at the interactive prompt, include comments. Comments in Python start with the hash character, ``#``, and extend to the end of the physical line. A comment may appear at the start of a line or following whitespace or code, but ...
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Attempting to use an index that is too large will result in an error:: >>> word[42] # the word only has 6 characters Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: string index out of range
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Attempting to use an index that is too large will result in an error:: >>> word[42] # the word only has 6 characters Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: string index out of range
Attempting to use an index that is too large will result in an error:: >>> word[42] # the word only has 6 characters Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: string index out of range
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Lists ----- Python knows a number of *compound* data types, used to group together other values. The most versatile is the *list*, which can be written as a list of comma-separated values (items) between square brackets. Lists might contain items of different types, but usually the items all have the same type. ::
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Lists ----- Python knows a number of *compound* data types, used to group together other values. The most versatile is the *list*, which can be written as a list of comma-separated values (items) between square brackets. Lists might contain items of different types, but usually the items all have the same type. ::
Lists ----- Python knows a number of *compound* data types, used to group together other values. The most versatile is the *list*, which can be written as a list of comma-separated values (items) between square brackets. Lists might contain items of different types, but usually the items all have the same type. ::
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In addition to indexing, *slicing* is also supported. While indexing is used to obtain individual characters, *slicing* allows you to obtain a substring:: >>> word[0:2] # characters from position 0 (included) to 2 (excluded) 'Py' >>> word[2:5] # characters from position 2 (included) to 5 (excluded) 'tho'
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In addition to indexing, *slicing* is also supported. While indexing is used to obtain individual characters, *slicing* allows you to obtain a substring:: >>> word[0:2] # characters from position 0 (included) to 2 (excluded) 'Py' >>> word[2:5] # characters from position 2 (included) to 5 (excluded) 'tho'
In addition to indexing, *slicing* is also supported. While indexing is used to obtain individual characters, *slicing* allows you to obtain a substring:: >>> word[0:2] # characters from position 0 (included) to 2 (excluded) 'Py' >>> word[2:5] # characters from position 2 (included) to 5 (excluded) 'tho'
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>>> word = 'Python' >>> word[0] # character in position 0 'P' >>> word[5] # character in position 5 'n' Indices may also be negative numbers, to start counting from the right::
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>>> word = 'Python' >>> word[0] # character in position 0 'P' >>> word[5] # character in position 5 'n' Indices may also be negative numbers, to start counting from the right::
>>> word = 'Python' >>> word[0] # character in position 0 'P' >>> word[5] # character in position 5 'n' Indices may also be negative numbers, to start counting from the right::
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b = 0, 1 >>> while a < 10: ... print(a) ... a, b = b, a+b ... 0 1 1 2 3 5 8 This example introduces several new features.
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b = 0, 1 >>> while a < 10: ... print(a) ... a, b = b, a+b ... 0 1 1 2 3 5 8 This example introduces several new features.
b = 0, 1 >>> while a < 10: ... print(a) ... a, b = b, a+b ... 0 1 1 2 3 5 8 This example introduces several new features.
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parser cannot guess when you have typed the last line). Note that each line within a basic block must be indented by the same amount. * The :func:`print` function writes the value of the argument(s) it is given. It differs from just writing the expression you want to write (as we did earlier in the calculator examples...
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parser cannot guess when you have typed the last line). Note that each line within a basic block must be indented by the same amount. * The :func:`print` function writes the value of the argument(s) it is given. It differs from just writing the expression you want to write (as we did earlier in the calculator examples...
parser cannot guess when you have typed the last line). Note that each line within a basic block must be indented by the same amount. * The :func:`print` function writes the value of the argument(s) it is given. It differs from just writing the expression you want to write (as we did earlier in the calculator examples...
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>>> 5 ** 2 # 5 squared 25 >>> 2 ** 7 # 2 to the power of 7 128 The equal sign (``=``) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt::
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>>> 5 ** 2 # 5 squared 25 >>> 2 ** 7 # 2 to the power of 7 128 The equal sign (``=``) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt::
>>> 5 ** 2 # 5 squared 25 >>> 2 ** 7 # 2 to the power of 7 128 The equal sign (``=``) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt::
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Text ---- Python can manipulate text (represented by type :class:`str`, so-called "strings") as well as numbers. This includes characters "``!``", words "``rabbit``", names "``Paris``", sentences "``Got your back.``", etc. "``Yay! :)``". They can be enclosed in single quotes (``'...'``) or double quotes (``"..."``) wit...
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Text ---- Python can manipulate text (represented by type :class:`str`, so-called "strings") as well as numbers. This includes characters "``!``", words "``rabbit``", names "``Paris``", sentences "``Got your back.``", etc. "``Yay! :)``". They can be enclosed in single quotes (``'...'``) or double quotes (``"..."``) wit...
Text ---- Python can manipulate text (represented by type :class:`str`, so-called "strings") as well as numbers. This includes characters "``!``", words "``rabbit``", names "``Paris``", sentences "``Got your back.``", etc. "``Yay! :)``". They can be enclosed in single quotes (``'...'``) or double quotes (``"..."``) wit...
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The equal sign (``=``) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt:: >>> width = 20 >>> height = 5 * 9 >>> width * height 900
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The equal sign (``=``) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt:: >>> width = 20 >>> height = 5 * 9 >>> width * height 900
The equal sign (``=``) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt:: >>> width = 20 >>> height = 5 * 9 >>> width * height 900
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included in the string 'First line.\nSecond line.' >>> print(s) # with print(), special characters are interpreted, so \n produces new line First line. Second line. If you don't want characters prefaced by ``\`` to be interpreted as special characters, you can use *raw strings* by adding an ``r`` before the first quote...
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included in the string 'First line.\nSecond line.' >>> print(s) # with print(), special characters are interpreted, so \n produces new line First line. Second line. If you don't want characters prefaced by ``\`` to be interpreted as special characters, you can use *raw strings* by adding an ``r`` before the first quote...
included in the string 'First line.\nSecond line.' >>> print(s) # with print(), special characters are interpreted, so \n produces new line First line. Second line. If you don't want characters prefaced by ``\`` to be interpreted as special characters, you can use *raw strings* by adding an ``r`` before the first quote...
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# the % operator returns the remainder of the division 2 >>> 5 * 3 + 2 # floored quotient * divisor + remainder 17 With Python, it is possible to use the ``**`` operator to calculate powers [#]_::
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# the % operator returns the remainder of the division 2 >>> 5 * 3 + 2 # floored quotient * divisor + remainder 17 With Python, it is possible to use the ``**`` operator to calculate powers [#]_::
# the % operator returns the remainder of the division 2 >>> 5 * 3 + 2 # floored quotient * divisor + remainder 17 With Python, it is possible to use the ``**`` operator to calculate powers [#]_::
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.. only:: html You can use the "Copy" button (it appears in the upper-right corner when hovering over or tapping a code example), which strips prompts and omits output, to copy and paste the input lines into your interpreter.
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.. only:: html You can use the "Copy" button (it appears in the upper-right corner when hovering over or tapping a code example), which strips prompts and omits output, to copy and paste the input lines into your interpreter.
.. only:: html You can use the "Copy" button (it appears in the upper-right corner when hovering over or tapping a code example), which strips prompts and omits output, to copy and paste the input lines into your interpreter.
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Assignment to slices is also possible, and this can even change the size of the list or clear it entirely:: >>> letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g'] >>> letters ['a', 'b', 'c', 'd', 'e', 'f', 'g'] >>> # replace some values >>> letters[2:5] = ['C', 'D', 'E'] >>> letters ['a', 'b', 'C', 'D', 'E', 'f', 'g']...
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Assignment to slices is also possible, and this can even change the size of the list or clear it entirely:: >>> letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g'] >>> letters ['a', 'b', 'c', 'd', 'e', 'f', 'g'] >>> # replace some values >>> letters[2:5] = ['C', 'D', 'E'] >>> letters ['a', 'b', 'C', 'D', 'E', 'f', 'g']...
Assignment to slices is also possible, and this can even change the size of the list or clear it entirely:: >>> letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g'] >>> letters ['a', 'b', 'c', 'd', 'e', 'f', 'g'] >>> # replace some values >>> letters[2:5] = ['C', 'D', 'E'] >>> letters ['a', 'b', 'C', 'D', 'E', 'f', 'g']...
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>>> i = 256*256 >>> print('The value of i is', i) The value of i is 65536 The keyword argument *end* can be used to avoid the newline after the output, or end the output with a different string::
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>>> i = 256*256 >>> print('The value of i is', i) The value of i is 65536 The keyword argument *end* can be used to avoid the newline after the output, or end the output with a different string::
>>> i = 256*256 >>> print('The value of i is', i) The value of i is 65536 The keyword argument *end* can be used to avoid the newline after the output, or end the output with a different string::
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With Python, it is possible to use the ``**`` operator to calculate powers [#]_:: >>> 5 ** 2 # 5 squared 25 >>> 2 ** 7 # 2 to the power of 7 128
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With Python, it is possible to use the ``**`` operator to calculate powers [#]_:: >>> 5 ** 2 # 5 squared 25 >>> 2 ** 7 # 2 to the power of 7 128
With Python, it is possible to use the ``**`` operator to calculate powers [#]_:: >>> 5 ** 2 # 5 squared 25 >>> 2 ** 7 # 2 to the power of 7 128
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output string can look different. The :func:`print` function produces a more readable output, by omitting the enclosing quotes and by printing escaped and special characters:: >>> s = 'First line.\nSecond line.' # \n means newline >>> s # without print(), special characters are included in the string 'First line.\nSe...
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output string can look different. The :func:`print` function produces a more readable output, by omitting the enclosing quotes and by printing escaped and special characters:: >>> s = 'First line.\nSecond line.' # \n means newline >>> s # without print(), special characters are included in the string 'First line.\nSe...
output string can look different. The :func:`print` function produces a more readable output, by omitting the enclosing quotes and by printing escaped and special characters:: >>> s = 'First line.\nSecond line.' # \n means newline >>> s # without print(), special characters are included in the string 'First line.\nSe...
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raw strings: a raw string may not end in an odd number of ``\`` characters; see :ref:`the FAQ entry <faq-programming-raw-string-backslash>` for more information and workarounds. String literals can span multiple lines. One way is using triple-quotes: ``"""..."""`` or ``'''...'''``. End-of-line characters are automatica...
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raw strings: a raw string may not end in an odd number of ``\`` characters; see :ref:`the FAQ entry <faq-programming-raw-string-backslash>` for more information and workarounds. String literals can span multiple lines. One way is using triple-quotes: ``"""..."""`` or ``'''...'''``. End-of-line characters are automatica...
raw strings: a raw string may not end in an odd number of ``\`` characters; see :ref:`the FAQ entry <faq-programming-raw-string-backslash>` for more information and workarounds. String literals can span multiple lines. One way is using triple-quotes: ``"""..."""`` or ``'''...'''``. End-of-line characters are automatica...
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for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the `Fibonacci series <https://en.wikipedia.org/wiki/Fibonacci_sequence>`_ as follows:: >>> # Fibonacci series: >>> # the sum of two elements defines the next >>> a, b = 0, 1 >>> while a < 10: ... prin...
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for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the `Fibonacci series <https://en.wikipedia.org/wiki/Fibonacci_sequence>`_ as follows:: >>> # Fibonacci series: >>> # the sum of two elements defines the next >>> a, b = 0, 1 >>> while a < 10: ... prin...
for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the `Fibonacci series <https://en.wikipedia.org/wiki/Fibonacci_sequence>`_ as follows:: >>> # Fibonacci series: >>> # the sum of two elements defines the next >>> a, b = 0, 1 >>> while a < 10: ... prin...
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to the variable ``_``. This means that when you are using Python as a desk calculator, it is somewhat easier to continue calculations, for example:: >>> tax = 12.5 / 100 >>> price = 100.50 >>> price * tax 12.5625 >>> price + _ 113.0625 >>> round(_, 2) 113.06
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to the variable ``_``. This means that when you are using Python as a desk calculator, it is somewhat easier to continue calculations, for example:: >>> tax = 12.5 / 100 >>> price = 100.50 >>> price * tax 12.5625 >>> price + _ 113.0625 >>> round(_, 2) 113.06
to the variable ``_``. This means that when you are using Python as a desk calculator, it is somewhat easier to continue calculations, for example:: >>> tax = 12.5 / 100 >>> price = 100.50 >>> price * tax 12.5625 >>> price + _ 113.0625 >>> round(_, 2) 113.06
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>>> squares + [36, 49, 64, 81, 100] [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] Unlike strings, which are :term:`immutable`, lists are a :term:`mutable` type, i.e. it is possible to change their content::
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>>> squares + [36, 49, 64, 81, 100] [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] Unlike strings, which are :term:`immutable`, lists are a :term:`mutable` type, i.e. it is possible to change their content::
>>> squares + [36, 49, 64, 81, 100] [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] Unlike strings, which are :term:`immutable`, lists are a :term:`mutable` type, i.e. it is possible to change their content::
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item assignment >>> word[2:] = 'py' Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: 'str' object does not support item assignment If you need a different string, you should create a new one::
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item assignment >>> word[2:] = 'py' Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: 'str' object does not support item assignment If you need a different string, you should create a new one::
item assignment >>> word[2:] = 'py' Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: 'str' object does not support item assignment If you need a different string, you should create a new one::
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.. code-block:: pycon >>> 'spam eggs' # single quotes 'spam eggs' >>> "Paris rabbit got your back :)! Yay!" # double quotes 'Paris rabbit got your back :)! Yay!' >>> '1975' # digits and numerals enclosed in quotes are also strings '1975'
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.. code-block:: pycon >>> 'spam eggs' # single quotes 'spam eggs' >>> "Paris rabbit got your back :)! Yay!" # double quotes 'Paris rabbit got your back :)! Yay!' >>> '1975' # digits and numerals enclosed in quotes are also strings '1975'
.. code-block:: pycon >>> 'spam eggs' # single quotes 'spam eggs' >>> "Paris rabbit got your back :)! Yay!" # double quotes 'Paris rabbit got your back :)! Yay!' >>> '1975' # digits and numerals enclosed in quotes are also strings '1975'
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:)! Yay!" # double quotes 'Paris rabbit got your back :)! Yay!' >>> '1975' # digits and numerals enclosed in quotes are also strings '1975' To quote a quote, we need to "escape" it, by preceding it with ``\``. Alternatively, we can use the other type of quotation marks::
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:)! Yay!" # double quotes 'Paris rabbit got your back :)! Yay!' >>> '1975' # digits and numerals enclosed in quotes are also strings '1975' To quote a quote, we need to "escape" it, by preceding it with ``\``. Alternatively, we can use the other type of quotation marks::
:)! Yay!" # double quotes 'Paris rabbit got your back :)! Yay!' >>> '1975' # digits and numerals enclosed in quotes are also strings '1975' To quote a quote, we need to "escape" it, by preceding it with ``\``. Alternatively, we can use the other type of quotation marks::
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second row gives the corresponding negative indices. The slice from *i* to *j* consists of all characters between the edges labeled *i* and *j*, respectively. For non-negative indices, the length of a slice is the difference of the indices, if both are within bounds. For example, the length of ``word[1:3]`` is 2.
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second row gives the corresponding negative indices. The slice from *i* to *j* consists of all characters between the edges labeled *i* and *j*, respectively. For non-negative indices, the length of a slice is the difference of the indices, if both are within bounds. For example, the length of ``word[1:3]`` is 2.
second row gives the corresponding negative indices. The slice from *i* to *j* consists of all characters between the edges labeled *i* and *j*, respectively. For non-negative indices, the length of a slice is the difference of the indices, if both are within bounds. For example, the length of ``word[1:3]`` is 2.
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(less than), ``>`` (greater than), ``==`` (equal to), ``<=`` (less than or equal to), ``>=`` (greater than or equal to) and ``!=`` (not equal to). * The *body* of the loop is *indented*: indentation is Python's way of grouping statements. At the interactive prompt, you have to type a tab or space(s) for each indented...
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(less than), ``>`` (greater than), ``==`` (equal to), ``<=`` (less than or equal to), ``>=`` (greater than or equal to) and ``!=`` (not equal to). * The *body* of the loop is *indented*: indentation is Python's way of grouping statements. At the interactive prompt, you have to type a tab or space(s) for each indented...
(less than), ``>`` (greater than), ``==`` (equal to), ``<=`` (less than or equal to), ``>=`` (greater than or equal to) and ``!=`` (not equal to). * The *body* of the loop is *indented*: indentation is Python's way of grouping statements. At the interactive prompt, you have to type a tab or space(s) for each indented...
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syntax is straightforward: the operators ``+``, ``-``, ``*`` and ``/`` can be used to perform arithmetic; parentheses (``()``) can be used for grouping. For example:: >>> 2 + 2 4 >>> 50 - 5*6 20 >>> (50 - 5*6) / 4 5.0 >>> 8 / 5 # division always returns a floating-point number 1.6
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syntax is straightforward: the operators ``+``, ``-``, ``*`` and ``/`` can be used to perform arithmetic; parentheses (``()``) can be used for grouping. For example:: >>> 2 + 2 4 >>> 50 - 5*6 20 >>> (50 - 5*6) / 4 5.0 >>> 8 / 5 # division always returns a floating-point number 1.6
syntax is straightforward: the operators ``+``, ``-``, ``*`` and ``/`` can be used to perform arithmetic; parentheses (``()``) can be used for grouping. For example:: >>> 2 + 2 4 >>> 50 - 5*6 20 >>> (50 - 5*6) / 4 5.0 >>> 8 / 5 # division always returns a floating-point number 1.6
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arguments, floating-point quantities, and strings. Strings are printed without quotes, and a space is inserted between items, so you can format things nicely, like this:: >>> i = 256*256 >>> print('The value of i is', i) The value of i is 65536
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arguments, floating-point quantities, and strings. Strings are printed without quotes, and a space is inserted between items, so you can format things nicely, like this:: >>> i = 256*256 >>> print('The value of i is', i) The value of i is 65536
arguments, floating-point quantities, and strings. Strings are printed without quotes, and a space is inserted between items, so you can format things nicely, like this:: >>> i = 256*256 >>> print('The value of i is', i) The value of i is 65536
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Like strings (and all other built-in :term:`sequence` types), lists can be indexed and sliced:: >>> squares[0] # indexing returns the item 1 >>> squares[-1] 25 >>> squares[-3:] # slicing returns a new list [9, 16, 25]
trusted_official_docs
CPython Docs
Like strings (and all other built-in :term:`sequence` types), lists can be indexed and sliced:: >>> squares[0] # indexing returns the item 1 >>> squares[-1] 25 >>> squares[-3:] # slicing returns a new list [9, 16, 25]
Like strings (and all other built-in :term:`sequence` types), lists can be indexed and sliced:: >>> squares[0] # indexing returns the item 1 >>> squares[-1] 25 >>> squares[-3:] # slicing returns a new list [9, 16, 25]
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indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced. :: >>> word[:2] # character from the beginning to position 2 (excluded) 'Py' >>> word[4:] # characters from position 4 (included) to the end 'on' >>> word[-2:] # characters...
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CPython Docs
indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced. :: >>> word[:2] # character from the beginning to position 2 (excluded) 'Py' >>> word[4:] # characters from position 4 (included) to the end 'on' >>> word[-2:] # characters...
indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced. :: >>> word[:2] # character from the beginning to position 2 (excluded) 'Py' >>> word[4:] # characters from position 4 (included) to the end 'on' >>> word[-2:] # characters...
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n # try to access an undefined variable Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'n' is not defined There is full support for floating point; operators with mixed type operands convert the integer operand to floating point::
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n # try to access an undefined variable Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'n' is not defined There is full support for floating point; operators with mixed type operands convert the integer operand to floating point::
n # try to access an undefined variable Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'n' is not defined There is full support for floating point; operators with mixed type operands convert the integer operand to floating point::
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If a variable is not "defined" (assigned a value), trying to use it will give you an error:: >>> n # try to access an undefined variable Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'n' is not defined
trusted_official_docs
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If a variable is not "defined" (assigned a value), trying to use it will give you an error:: >>> n # try to access an undefined variable Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'n' is not defined
If a variable is not "defined" (assigned a value), trying to use it will give you an error:: >>> n # try to access an undefined variable Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'n' is not defined
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>>> print('C:\this\name') # here \t means tab, \n means newline C: his ame >>> print(r'C:\this\name') # note the r before the quote C:\this\name There is one subtle aspect to raw strings: a raw string may not end in an odd number of ``\`` characters; see :ref:`the FAQ entry <faq-programming-raw-string-backslash>` for m...
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CPython Docs
>>> print('C:\this\name') # here \t means tab, \n means newline C: his ame >>> print(r'C:\this\name') # note the r before the quote C:\this\name There is one subtle aspect to raw strings: a raw string may not end in an odd number of ``\`` characters; see :ref:`the FAQ entry <faq-programming-raw-string-backslash>` for m...
>>> print('C:\this\name') # here \t means tab, \n means newline C: his ame >>> print(r'C:\this\name') # note the r before the quote C:\this\name There is one subtle aspect to raw strings: a raw string may not end in an odd number of ``\`` characters; see :ref:`the FAQ entry <faq-programming-raw-string-backslash>` for m...
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.. rubric:: Footnotes .. [#] Since ``**`` has higher precedence than ``-``, ``-3**2`` will be interpreted as ``-(3**2)`` and thus result in ``-9``. To avoid this and get ``9``, you can use ``(-3)**2``.
trusted_official_docs
CPython Docs
.. rubric:: Footnotes .. [#] Since ``**`` has higher precedence than ``-``, ``-3**2`` will be interpreted as ``-(3**2)`` and thus result in ``-9``. To avoid this and get ``9``, you can use ``(-3)**2``.
.. rubric:: Footnotes .. [#] Since ``**`` has higher precedence than ``-``, ``-3**2`` will be interpreted as ``-(3**2)`` and thus result in ``-9``. To avoid this and get ``9``, you can use ``(-3)**2``.
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of exact arithmetic is supported by the :mod:`fractions` module which implements arithmetic based on rational numbers (so the numbers like 1/3 can be represented exactly). If you are a heavy user of floating-point operations you should take a look at the NumPy package and many other packages for mathematical and statis...
trusted_official_docs
CPython Docs
of exact arithmetic is supported by the :mod:`fractions` module which implements arithmetic based on rational numbers (so the numbers like 1/3 can be represented exactly). If you are a heavy user of floating-point operations you should take a look at the NumPy package and many other packages for mathematical and statis...
of exact arithmetic is supported by the :mod:`fractions` module which implements arithmetic based on rational numbers (so the numbers like 1/3 can be represented exactly). If you are a heavy user of floating-point operations you should take a look at the NumPy package and many other packages for mathematical and statis...
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>>> round(0.1, 1) + round(0.1, 1) + round(0.1, 1) == round(0.3, 1) False Though the numbers cannot be made closer to their intended exact values, the :func:`math.isclose` function can be useful for comparing inexact values:
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>>> round(0.1, 1) + round(0.1, 1) + round(0.1, 1) == round(0.3, 1) False Though the numbers cannot be made closer to their intended exact values, the :func:`math.isclose` function can be useful for comparing inexact values:
>>> round(0.1, 1) + round(0.1, 1) + round(0.1, 1) == round(0.3, 1) False Though the numbers cannot be made closer to their intended exact values, the :func:`math.isclose` function can be useful for comparing inexact values:
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0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False >>> sum([0.1] * 10) == 1.0 True The :func:`math.fsum` goes further and tracks all of the "lost digits" as values are added onto a running total so that the result has only a single rounding. This is slower than :func:`sum` but will be more accurate in uncommon ...
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0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False >>> sum([0.1] * 10) == 1.0 True The :func:`math.fsum` goes further and tracks all of the "lost digits" as values are added onto a running total so that the result has only a single rounding. This is slower than :func:`sum` but will be more accurate in uncommon ...
0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False >>> sum([0.1] * 10) == 1.0 True The :func:`math.fsum` goes further and tracks all of the "lost digits" as values are added onto a running total so that the result has only a single rounding. This is slower than :func:`sum` but will be more accurate in uncommon ...
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0.333 and so on. No matter how many digits you're willing to write down, the result will never be exactly 1/3, but will be an increasingly better approximation of 1/3.
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0.333 and so on. No matter how many digits you're willing to write down, the result will never be exactly 1/3, but will be an increasingly better approximation of 1/3.
0.333 and so on. No matter how many digits you're willing to write down, the result will never be exactly 1/3, but will be an increasingly better approximation of 1/3.
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>>> x == float.fromhex('0x1.921f9f01b866ep+1') True Since the representation is exact, it is useful for reliably porting values across different versions of Python (platform independence) and exchanging data with other languages that support the same format (such as Java and C99).
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>>> x == float.fromhex('0x1.921f9f01b866ep+1') True Since the representation is exact, it is useful for reliably porting values across different versions of Python (platform independence) and exchanging data with other languages that support the same format (such as Java and C99).
>>> x == float.fromhex('0x1.921f9f01b866ep+1') True Since the representation is exact, it is useful for reliably porting values across different versions of Python (platform independence) and exchanging data with other languages that support the same format (such as Java and C99).
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>>> round(math.pi, ndigits=2) == round(22 / 7, ndigits=2) True Binary floating-point arithmetic holds many surprises like this. The problem with "0.1" is explained in precise detail below, in the "Representation Error" section. See `Examples of Floating Point Problems <https://jvns.ca/blog/2023/01/13/examples-of-floati...
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>>> round(math.pi, ndigits=2) == round(22 / 7, ndigits=2) True Binary floating-point arithmetic holds many surprises like this. The problem with "0.1" is explained in precise detail below, in the "Representation Error" section. See `Examples of Floating Point Problems <https://jvns.ca/blog/2023/01/13/examples-of-floati...
>>> round(math.pi, ndigits=2) == round(22 / 7, ndigits=2) True Binary floating-point arithmetic holds many surprises like this. The problem with "0.1" is explained in precise detail below, in the "Representation Error" section. See `Examples of Floating Point Problems <https://jvns.ca/blog/2023/01/13/examples-of-floati...
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>>> 0.1 + 0.1 + 0.1 == 0.3 False Also, since the 0.1 cannot get any closer to the exact value of 1/10 and 0.3 cannot get any closer to the exact value of 3/10, then pre-rounding with :func:`round` function cannot help:
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>>> 0.1 + 0.1 + 0.1 == 0.3 False Also, since the 0.1 cannot get any closer to the exact value of 1/10 and 0.3 cannot get any closer to the exact value of 3/10, then pre-rounding with :func:`round` function cannot help:
>>> 0.1 + 0.1 + 0.1 == 0.3 False Also, since the 0.1 cannot get any closer to the exact value of 1/10 and 0.3 cannot get any closer to the exact value of 3/10, then pre-rounding with :func:`round` function cannot help:
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you should take a look at the NumPy package and many other packages for mathematical and statistical operations supplied by the SciPy project. See <https://scipy.org>. Python provides tools that may help on those rare occasions when you really *do* want to know the exact value of a float. The :meth:`float.as_integer_ra...
trusted_official_docs
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you should take a look at the NumPy package and many other packages for mathematical and statistical operations supplied by the SciPy project. See <https://scipy.org>. Python provides tools that may help on those rare occasions when you really *do* want to know the exact value of a float. The :meth:`float.as_integer_ra...
you should take a look at the NumPy package and many other packages for mathematical and statistical operations supplied by the SciPy project. See <https://scipy.org>. Python provides tools that may help on those rare occasions when you really *do* want to know the exact value of a float. The :meth:`float.as_integer_ra...
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It's important to realize that this is, in a real sense, an illusion: you're simply rounding the *display* of the true machine value. One illusion may beget another. For example, since 0.1 is not exactly 1/10, summing three values of 0.1 may not yield exactly 0.3, either:
trusted_official_docs
CPython Docs
It's important to realize that this is, in a real sense, an illusion: you're simply rounding the *display* of the true machine value. One illusion may beget another. For example, since 0.1 is not exactly 1/10, summing three values of 0.1 may not yield exactly 0.3, either:
It's important to realize that this is, in a real sense, an illusion: you're simply rounding the *display* of the true machine value. One illusion may beget another. For example, since 0.1 is not exactly 1/10, summing three values of 0.1 may not yield exactly 0.3, either:
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the kinds of problems commonly encountered in practice. Also see `The Perils of Floating Point <http://www.indowsway.com/floatingpoint.htm>`_ for a more complete account of other common surprises. As that says near the end, "there are no easy answers." Still, don't be unduly wary of floating point! The errors in Python...
trusted_official_docs
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the kinds of problems commonly encountered in practice. Also see `The Perils of Floating Point <http://www.indowsway.com/floatingpoint.htm>`_ for a more complete account of other common surprises. As that says near the end, "there are no easy answers." Still, don't be unduly wary of floating point! The errors in Python...
the kinds of problems commonly encountered in practice. Also see `The Perils of Floating Point <http://www.indowsway.com/floatingpoint.htm>`_ for a more complete account of other common surprises. As that says near the end, "there are no easy answers." Still, don't be unduly wary of floating point! The errors in Python...
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17 significant digits, ``0.10000000000000001``. Starting with Python 3.1, Python (on most systems) is now able to choose the shortest of these and simply display ``0.1``. Note that this is in the very nature of binary floating point: this is not a bug in Python, and it is not a bug in your code either. You'll see the s...
trusted_official_docs
CPython Docs
17 significant digits, ``0.10000000000000001``. Starting with Python 3.1, Python (on most systems) is now able to choose the shortest of these and simply display ``0.1``. Note that this is in the very nature of binary floating point: this is not a bug in Python, and it is not a bug in your code either. You'll see the s...
17 significant digits, ``0.10000000000000001``. Starting with Python 3.1, Python (on most systems) is now able to choose the shortest of these and simply display ``0.1``. Note that this is in the very nature of binary floating point: this is not a bug in Python, and it is not a bug in your code either. You'll see the s...
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For use cases which require exact decimal representation, try using the :mod:`decimal` module which implements decimal arithmetic suitable for accounting applications and high-precision applications. Another form of exact arithmetic is supported by the :mod:`fractions` module which implements arithmetic based on ration...
trusted_official_docs
CPython Docs
For use cases which require exact decimal representation, try using the :mod:`decimal` module which implements decimal arithmetic suitable for accounting applications and high-precision applications. Another form of exact arithmetic is supported by the :mod:`fractions` module which implements arithmetic based on ration...
For use cases which require exact decimal representation, try using the :mod:`decimal` module which implements decimal arithmetic suitable for accounting applications and high-precision applications. Another form of exact arithmetic is supported by the :mod:`fractions` module which implements arithmetic based on ration...
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3602879701896397 / 2 ** 55 Note that since we rounded up, this is actually a little bit larger than 1/10; if we had not rounded up, the quotient would have been a little bit smaller than 1/10. But in no case can it be *exactly* 1/10!
trusted_official_docs
CPython Docs
3602879701896397 / 2 ** 55 Note that since we rounded up, this is actually a little bit larger than 1/10; if we had not rounded up, the quotient would have been a little bit smaller than 1/10. But in no case can it be *exactly* 1/10!
3602879701896397 / 2 ** 55 Note that since we rounded up, this is actually a little bit larger than 1/10; if we had not rounded up, the quotient would have been a little bit smaller than 1/10. But in no case can it be *exactly* 1/10!
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fractions have identical values, the only real difference being that the first is written in base 10 fractional notation, and the second in base 2. Unfortunately, most decimal fractions cannot be represented exactly as binary fractions. A consequence is that, in general, the decimal floating-point numbers you enter are...
trusted_official_docs
CPython Docs
fractions have identical values, the only real difference being that the first is written in base 10 fractional notation, and the second in base 2. Unfortunately, most decimal fractions cannot be represented exactly as binary fractions. A consequence is that, in general, the decimal floating-point numbers you enter are...
fractions have identical values, the only real difference being that the first is written in base 10 fractional notation, and the second in base 2. Unfortunately, most decimal fractions cannot be represented exactly as binary fractions. A consequence is that, in general, the decimal floating-point numbers you enter are...
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>>> 2**52 <= 2**56 // 10 < 2**53 True That is, 56 is the only value for *N* that leaves *J* with exactly 53 bits. The best possible value for *J* is then that quotient rounded:
trusted_official_docs
CPython Docs
>>> 2**52 <= 2**56 // 10 < 2**53 True That is, 56 is the only value for *N* that leaves *J* with exactly 53 bits. The best possible value for *J* is then that quotient rounded:
>>> 2**52 <= 2**56 // 10 < 2**53 True That is, 56 is the only value for *N* that leaves *J* with exactly 53 bits. The best possible value for *J* is then that quotient rounded:
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************************************************** Floating-Point Arithmetic: Issues and Limitations ************************************************** Floating-point numbers are represented in computer hardware as base 2 (binary) fractions. For example, the **decimal** fraction ``0.625`` has value 6/10 + 2/100 + 5/100...
trusted_official_docs
CPython Docs
************************************************** Floating-Point Arithmetic: Issues and Limitations ************************************************** Floating-point numbers are represented in computer hardware as base 2 (binary) fractions. For example, the **decimal** fraction ``0.625`` has value 6/10 + 2/100 + 5/100...
************************************************** Floating-Point Arithmetic: Issues and Limitations ************************************************** Floating-point numbers are represented in computer hardware as base 2 (binary) fractions. For example, the **decimal** fraction ``0.625`` has value 6/10 + 2/100 + 5/100...
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>>> 3602879701896397 * 10 ** 55 // 2 ** 55 1000000000000000055511151231257827021181583404541015625 meaning that the exact number stored in the computer is equal to the decimal value 0.1000000000000000055511151231257827021181583404541015625. Instead of displaying the full decimal value, many languages (including older v...
trusted_official_docs
CPython Docs
>>> 3602879701896397 * 10 ** 55 // 2 ** 55 1000000000000000055511151231257827021181583404541015625 meaning that the exact number stored in the computer is equal to the decimal value 0.1000000000000000055511151231257827021181583404541015625. Instead of displaying the full decimal value, many languages (including older v...
>>> 3602879701896397 * 10 ** 55 // 2 ** 55 1000000000000000055511151231257827021181583404541015625 meaning that the exact number stored in the computer is equal to the decimal value 0.1000000000000000055511151231257827021181583404541015625. Instead of displaying the full decimal value, many languages (including older v...
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thing in all languages that support your hardware's floating-point arithmetic (although some languages may not *display* the difference by default, or in all output modes). For more pleasant output, you may wish to use string formatting to produce a limited number of significant digits:
trusted_official_docs
CPython Docs
thing in all languages that support your hardware's floating-point arithmetic (although some languages may not *display* the difference by default, or in all output modes). For more pleasant output, you may wish to use string formatting to produce a limited number of significant digits:
thing in all languages that support your hardware's floating-point arithmetic (although some languages may not *display* the difference by default, or in all output modes). For more pleasant output, you may wish to use string formatting to produce a limited number of significant digits:
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This is the chief reason why Python (or Perl, C, C++, Java, Fortran, and many others) often won't display the exact decimal number you expect. Why is that? 1/10 is not exactly representable as a binary fraction. Since at least 2000, almost all machines use IEEE 754 binary floating-point arithmetic, and almost all platf...
trusted_official_docs
CPython Docs
This is the chief reason why Python (or Perl, C, C++, Java, Fortran, and many others) often won't display the exact decimal number you expect. Why is that? 1/10 is not exactly representable as a binary fraction. Since at least 2000, almost all machines use IEEE 754 binary floating-point arithmetic, and almost all platf...
This is the chief reason why Python (or Perl, C, C++, Java, Fortran, and many others) often won't display the exact decimal number you expect. Why is that? 1/10 is not exactly representable as a binary fraction. Since at least 2000, almost all machines use IEEE 754 binary floating-point arithmetic, and almost all platf...
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.. doctest:: >>> arr = [-0.10430216751806065, -266310978.67179024, 143401161448607.16, ... -143401161400469.7, 266262841.31058735, -0.003244936839808227] >>> float(sum(map(Fraction, arr))) # Exact summation with single rounding 8.042173697819788e-13 >>> math.fsum(arr) # Single rounding 8.042173697819788e-13 >>> s...
trusted_official_docs
CPython Docs
.. doctest:: >>> arr = [-0.10430216751806065, -266310978.67179024, 143401161448607.16, ... -143401161400469.7, 266262841.31058735, -0.003244936839808227] >>> float(sum(map(Fraction, arr))) # Exact summation with single rounding 8.042173697819788e-13 >>> math.fsum(arr) # Single rounding 8.042173697819788e-13 >>> s...
.. doctest:: >>> arr = [-0.10430216751806065, -266310978.67179024, 143401161448607.16, ... -143401161400469.7, 266262841.31058735, -0.003244936839808227] >>> float(sum(map(Fraction, arr))) # Exact summation with single rounding 8.042173697819788e-13 >>> math.fsum(arr) # Single rounding 8.042173697819788e-13 >>> s...
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A consequence is that, in general, the decimal floating-point numbers you enter are only approximated by the binary floating-point numbers actually stored in the machine. The problem is easier to understand at first in base 10. Consider the fraction 1/3. You can approximate that as a base 10 fraction::
trusted_official_docs
CPython Docs
A consequence is that, in general, the decimal floating-point numbers you enter are only approximated by the binary floating-point numbers actually stored in the machine. The problem is easier to understand at first in base 10. Consider the fraction 1/3. You can approximate that as a base 10 fraction::
A consequence is that, in general, the decimal floating-point numbers you enter are only approximated by the binary floating-point numbers actually stored in the machine. The problem is easier to understand at first in base 10. Consider the fraction 1/3. You can approximate that as a base 10 fraction::
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porting values across different versions of Python (platform independence) and exchanging data with other languages that support the same format (such as Java and C99). Another helpful tool is the :func:`sum` function which helps mitigate loss-of-precision during summation. It uses extended precision for intermediate r...
trusted_official_docs
CPython Docs
porting values across different versions of Python (platform independence) and exchanging data with other languages that support the same format (such as Java and C99). Another helpful tool is the :func:`sum` function which helps mitigate loss-of-precision during summation. It uses extended precision for intermediate r...
porting values across different versions of Python (platform independence) and exchanging data with other languages that support the same format (such as Java and C99). Another helpful tool is the :func:`sum` function which helps mitigate loss-of-precision during summation. It uses extended precision for intermediate r...
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to convert 0.1 to the closest fraction it can of the form *J*/2**\ *N* where *J* is an integer containing exactly 53 bits. Rewriting :: 1 / 10 ~= J / (2**N)
trusted_official_docs
CPython Docs
to convert 0.1 to the closest fraction it can of the form *J*/2**\ *N* where *J* is an integer containing exactly 53 bits. Rewriting :: 1 / 10 ~= J / (2**N)
to convert 0.1 to the closest fraction it can of the form *J*/2**\ *N* where *J* is an integer containing exactly 53 bits. Rewriting :: 1 / 10 ~= J / (2**N)
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tasks, but you do need to keep in mind that it's not decimal arithmetic and that every float operation can suffer a new rounding error. While pathological cases do exist, for most casual use of floating-point arithmetic you'll see the result you expect in the end if you simply round the display of your final results to...
trusted_official_docs
CPython Docs
tasks, but you do need to keep in mind that it's not decimal arithmetic and that every float operation can suffer a new rounding error. While pathological cases do exist, for most casual use of floating-point arithmetic you'll see the result you expect in the end if you simply round the display of your final results to...
tasks, but you do need to keep in mind that it's not decimal arithmetic and that every float operation can suffer a new rounding error. While pathological cases do exist, for most casual use of floating-point arithmetic you'll see the result you expect in the end if you simply round the display of your final results to...
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0.0001100110011001100110011001100110011001100110011... Stop at any finite number of bits, and you get an approximation. On most machines today, floats are approximated using a binary fraction with the numerator using the first 53 bits starting with the most significant bit and with the denominator as a power of two. In...
trusted_official_docs
CPython Docs
0.0001100110011001100110011001100110011001100110011... Stop at any finite number of bits, and you get an approximation. On most machines today, floats are approximated using a binary fraction with the numerator using the first 53 bits starting with the most significant bit and with the denominator as a power of two. In...
0.0001100110011001100110011001100110011001100110011... Stop at any finite number of bits, and you get an approximation. On most machines today, floats are approximated using a binary fraction with the numerator using the first 53 bits starting with the most significant bit and with the denominator as a power of two. In...
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.. doctest:: >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False >>> sum([0.1] * 10) == 1.0 True
trusted_official_docs
CPython Docs
.. doctest:: >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False >>> sum([0.1] * 10) == 1.0 True
.. doctest:: >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False >>> sum([0.1] * 10) == 1.0 True
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Just remember, even though the printed result looks like the exact value of 1/10, the actual stored value is the nearest representable binary fraction. Interestingly, there are many different decimal numbers that share the same nearest approximate binary fraction. For example, the numbers ``0.1`` and ``0.10000000000000...
trusted_official_docs
CPython Docs
Just remember, even though the printed result looks like the exact value of 1/10, the actual stored value is the nearest representable binary fraction. Interestingly, there are many different decimal numbers that share the same nearest approximate binary fraction. For example, the numbers ``0.1`` and ``0.10000000000000...
Just remember, even though the printed result looks like the exact value of 1/10, the actual stored value is the nearest representable binary fraction. Interestingly, there are many different decimal numbers that share the same nearest approximate binary fraction. For example, the numbers ``0.1`` and ``0.10000000000000...
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we had not rounded up, the quotient would have been a little bit smaller than 1/10. But in no case can it be *exactly* 1/10! So the computer never "sees" 1/10: what it sees is the exact fraction given above, the best IEEE 754 double approximation it can get:
trusted_official_docs
CPython Docs
we had not rounded up, the quotient would have been a little bit smaller than 1/10. But in no case can it be *exactly* 1/10! So the computer never "sees" 1/10: what it sees is the exact fraction given above, the best IEEE 754 double approximation it can get:
we had not rounded up, the quotient would have been a little bit smaller than 1/10. But in no case can it be *exactly* 1/10! So the computer never "sees" 1/10: what it sees is the exact fraction given above, the best IEEE 754 double approximation it can get:
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example in detail, and shows how you can perform an exact analysis of cases like this yourself. Basic familiarity with binary floating-point representation is assumed. :dfn:`Representation error` refers to the fact that some (most, actually) decimal fractions cannot be represented exactly as binary (base 2) fractions. ...
trusted_official_docs
CPython Docs
example in detail, and shows how you can perform an exact analysis of cases like this yourself. Basic familiarity with binary floating-point representation is assumed. :dfn:`Representation error` refers to the fact that some (most, actually) decimal fractions cannot be represented exactly as binary (base 2) fractions. ...
example in detail, and shows how you can perform an exact analysis of cases like this yourself. Basic familiarity with binary floating-point representation is assumed. :dfn:`Representation error` refers to the fact that some (most, actually) decimal fractions cannot be represented exactly as binary (base 2) fractions. ...
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final results to the number of decimal digits you expect. :func:`str` usually suffices, and for finer control see the :meth:`str.format` method's format specifiers in :ref:`formatstrings`. For use cases which require exact decimal representation, try using the :mod:`decimal` module which implements decimal arithmetic s...
trusted_official_docs
CPython Docs
final results to the number of decimal digits you expect. :func:`str` usually suffices, and for finer control see the :meth:`str.format` method's format specifiers in :ref:`formatstrings`. For use cases which require exact decimal representation, try using the :mod:`decimal` module which implements decimal arithmetic s...
final results to the number of decimal digits you expect. :func:`str` usually suffices, and for finer control see the :meth:`str.format` method's format specifiers in :ref:`formatstrings`. For use cases which require exact decimal representation, try using the :mod:`decimal` module which implements decimal arithmetic s...
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Since all of these decimal values share the same approximation, any one of them could be displayed while still preserving the invariant ``eval(repr(x)) == x``. Historically, the Python prompt and built-in :func:`repr` function would choose the one with 17 significant digits, ``0.10000000000000001``. Starting with Pytho...
trusted_official_docs
CPython Docs
Since all of these decimal values share the same approximation, any one of them could be displayed while still preserving the invariant ``eval(repr(x)) == x``. Historically, the Python prompt and built-in :func:`repr` function would choose the one with 17 significant digits, ``0.10000000000000001``. Starting with Pytho...
Since all of these decimal values share the same approximation, any one of them could be displayed while still preserving the invariant ``eval(repr(x)) == x``. Historically, the Python prompt and built-in :func:`repr` function would choose the one with 17 significant digits, ``0.10000000000000001``. Starting with Pytho...
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of 1/10, the binary fraction is ``3602879701896397 / 2 ** 55`` which is close to but not exactly equal to the true value of 1/10. Many users are not aware of the approximation because of the way values are displayed. Python only prints a decimal approximation to the true decimal value of the binary approximation stored...
trusted_official_docs
CPython Docs
of 1/10, the binary fraction is ``3602879701896397 / 2 ** 55`` which is close to but not exactly equal to the true value of 1/10. Many users are not aware of the approximation because of the way values are displayed. Python only prints a decimal approximation to the true decimal value of the binary approximation stored...
of 1/10, the binary fraction is ``3602879701896397 / 2 ** 55`` which is close to but not exactly equal to the true value of 1/10. Many users are not aware of the approximation because of the way values are displayed. Python only prints a decimal approximation to the true decimal value of the binary approximation stored...
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matter how many digits you're willing to write down, the result will never be exactly 1/3, but will be an increasingly better approximation of 1/3. In the same way, no matter how many base 2 digits you're willing to use, the decimal value 0.1 cannot be represented exactly as a base 2 fraction. In base 2, 1/10 is the in...
trusted_official_docs
CPython Docs
matter how many digits you're willing to write down, the result will never be exactly 1/3, but will be an increasingly better approximation of 1/3. In the same way, no matter how many base 2 digits you're willing to use, the decimal value 0.1 cannot be represented exactly as a base 2 fraction. In base 2, 1/10 is the in...
matter how many digits you're willing to write down, the result will never be exactly 1/3, but will be an increasingly better approximation of 1/3. In the same way, no matter how many base 2 digits you're willing to use, the decimal value 0.1 cannot be represented exactly as a base 2 fraction. In base 2, 1/10 is the in...
python, official-docs, cpython, P0
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Representation Error ==================== This section explains the "0.1" example in detail, and shows how you can perform an exact analysis of cases like this yourself. Basic familiarity with binary floating-point representation is assumed.
trusted_official_docs
CPython Docs
Representation Error ==================== This section explains the "0.1" example in detail, and shows how you can perform an exact analysis of cases like this yourself. Basic familiarity with binary floating-point representation is assumed.
Representation Error ==================== This section explains the "0.1" example in detail, and shows how you can perform an exact analysis of cases like this yourself. Basic familiarity with binary floating-point representation is assumed.
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modules for accessing the internet and processing internet protocols. Two of the simplest are :mod:`urllib.request` for retrieving data from URLs and :mod:`smtplib` for sending mail:: >>> from urllib.request import urlopen >>> with urlopen('https://docs.python.org/3/') as response: ... for line in response: ... line...
trusted_official_docs
CPython Docs
modules for accessing the internet and processing internet protocols. Two of the simplest are :mod:`urllib.request` for retrieving data from URLs and :mod:`smtplib` for sending mail:: >>> from urllib.request import urlopen >>> with urlopen('https://docs.python.org/3/') as response: ... for line in response: ... line...
modules for accessing the internet and processing internet protocols. Two of the simplest are :mod:`urllib.request` for retrieving data from URLs and :mod:`smtplib` for sending mail:: >>> from urllib.request import urlopen >>> with urlopen('https://docs.python.org/3/') as response: ... for line in response: ... line...
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the focus of the implementation is on efficient member extraction for output formatting and manipulation. The module also supports objects that are timezone aware. :: >>> # dates are easily constructed and formatted >>> import datetime as dt >>> now = dt.date.today() >>> now datetime.date(2003, 12, 2) >>> now.strf...
trusted_official_docs
CPython Docs
the focus of the implementation is on efficient member extraction for output formatting and manipulation. The module also supports objects that are timezone aware. :: >>> # dates are easily constructed and formatted >>> import datetime as dt >>> now = dt.date.today() >>> now datetime.date(2003, 12, 2) >>> now.strf...
the focus of the implementation is on efficient member extraction for output formatting and manipulation. The module also supports objects that are timezone aware. :: >>> # dates are easily constructed and formatted >>> import datetime as dt >>> now = dt.date.today() >>> now datetime.date(2003, 12, 2) >>> now.strf...
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:mod:`xmlrpc.server` modules make implementing remote procedure calls into an almost trivial task. Despite the modules' names, no direct knowledge or handling of XML is needed. * The :mod:`email` package is a library for managing email messages, including MIME and other :rfc:`5322`-based message documents. Unlike :mod...
trusted_official_docs
CPython Docs
:mod:`xmlrpc.server` modules make implementing remote procedure calls into an almost trivial task. Despite the modules' names, no direct knowledge or handling of XML is needed. * The :mod:`email` package is a library for managing email messages, including MIME and other :rfc:`5322`-based message documents. Unlike :mod...
:mod:`xmlrpc.server` modules make implementing remote procedure calls into an almost trivial task. Despite the modules' names, no direct knowledge or handling of XML is needed. * The :mod:`email` package is a library for managing email messages, including MIME and other :rfc:`5322`-based message documents. Unlike :mod...
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib.rst
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81, 41, 50, 18, 33] >>> random.random() # random float from the interval [0.0, 1.0) 0.17970987693706186 >>> random.randrange(6) # random integer chosen from range(6) 4 The :mod:`statistics` module calculates basic statistical properties (the mean, median, variance, etc.) of numeric data::
trusted_official_docs
CPython Docs
81, 41, 50, 18, 33] >>> random.random() # random float from the interval [0.0, 1.0) 0.17970987693706186 >>> random.randrange(6) # random integer chosen from range(6) 4 The :mod:`statistics` module calculates basic statistical properties (the mean, median, variance, etc.) of numeric data::
81, 41, 50, 18, 33] >>> random.random() # random float from the interval [0.0, 1.0) 0.17970987693706186 >>> random.randrange(6) # random integer chosen from range(6) 4 The :mod:`statistics` module calculates basic statistical properties (the mean, median, variance, etc.) of numeric data::
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib.rst
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re >>> re.findall(r'\bf[a-z]*', 'which foot or hand fell fastest') ['foot', 'fell', 'fastest'] >>> re.sub(r'(\b[a-z]+) \1', r'\1', 'cat in the the hat') 'cat in the hat' When only simple capabilities are needed, string methods are preferred because they are easier to read and debug::
trusted_official_docs
CPython Docs
re >>> re.findall(r'\bf[a-z]*', 'which foot or hand fell fastest') ['foot', 'fell', 'fastest'] >>> re.sub(r'(\b[a-z]+) \1', r'\1', 'cat in the the hat') 'cat in the hat' When only simple capabilities are needed, string methods are preferred because they are easier to read and debug::
re >>> re.findall(r'\bf[a-z]*', 'which foot or hand fell fastest') ['foot', 'fell', 'fastest'] >>> re.sub(r'(\b[a-z]+) \1', r'\1', 'cat in the the hat') 'cat in the hat' When only simple capabilities are needed, string methods are preferred because they are easier to read and debug::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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Python has a "batteries included" philosophy. This is best seen through the sophisticated and robust capabilities of its larger packages. For example: * The :mod:`xmlrpc.client` and :mod:`xmlrpc.server` modules make implementing remote procedure calls into an almost trivial task. Despite the modules' names, no direct...
trusted_official_docs
CPython Docs
Python has a "batteries included" philosophy. This is best seen through the sophisticated and robust capabilities of its larger packages. For example: * The :mod:`xmlrpc.client` and :mod:`xmlrpc.server` modules make implementing remote procedure calls into an almost trivial task. Despite the modules' names, no direct...
Python has a "batteries included" philosophy. This is best seen through the sophisticated and robust capabilities of its larger packages. For example: * The :mod:`xmlrpc.client` and :mod:`xmlrpc.server` modules make implementing remote procedure calls into an almost trivial task. Despite the modules' names, no direct...
python, official-docs, cpython, P0
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib.rst
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Dates and times =============== The :mod:`datetime` module supplies classes for manipulating dates and times in both simple and complex ways. While date and time arithmetic is supported, the focus of the implementation is on efficient member extraction for output formatting and manipulation. The module also supports ob...
trusted_official_docs
CPython Docs
Dates and times =============== The :mod:`datetime` module supplies classes for manipulating dates and times in both simple and complex ways. While date and time arithmetic is supported, the focus of the implementation is on efficient member extraction for output formatting and manipulation. The module also supports ob...
Dates and times =============== The :mod:`datetime` module supplies classes for manipulating dates and times in both simple and complex ways. While date and time arithmetic is supported, the focus of the implementation is on efficient member extraction for output formatting and manipulation. The module also supports ob...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib.rst
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:mod:`sqlite3` module is a wrapper for the SQLite database library, providing a persistent database that can be updated and accessed using slightly nonstandard SQL syntax. * Internationalization is supported by a number of modules including :mod:`gettext`, :mod:`locale`, and the :mod:`codecs` package.
trusted_official_docs
CPython Docs
:mod:`sqlite3` module is a wrapper for the SQLite database library, providing a persistent database that can be updated and accessed using slightly nonstandard SQL syntax. * Internationalization is supported by a number of modules including :mod:`gettext`, :mod:`locale`, and the :mod:`codecs` package.
:mod:`sqlite3` module is a wrapper for the SQLite database library, providing a persistent database that can be updated and accessed using slightly nonstandard SQL syntax. * Internationalization is supported by a number of modules including :mod:`gettext`, :mod:`locale`, and the :mod:`codecs` package.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib.rst
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the current working directory 'C:\\Python315' >>> os.chdir('/server/accesslogs') # Change current working directory >>> os.system('mkdir today') # Run the command mkdir in the system shell 0 Be sure to use the ``import os`` style instead of ``from os import *``. This will keep :func:`os.open` from shadowing the built-i...
trusted_official_docs
CPython Docs
the current working directory 'C:\\Python315' >>> os.chdir('/server/accesslogs') # Change current working directory >>> os.system('mkdir today') # Run the command mkdir in the system shell 0 Be sure to use the ``import os`` style instead of ``from os import *``. This will keep :func:`os.open` from shadowing the built-i...
the current working directory 'C:\\Python315' >>> os.chdir('/server/accesslogs') # Change current working directory >>> os.system('mkdir today') # Run the command mkdir in the system shell 0 Be sure to use the ``import os`` style instead of ``from os import *``. This will keep :func:`os.open` from shadowing the built-i...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib.rst
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>>> import statistics >>> data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 3.5] >>> statistics.mean(data) 1.6071428571428572 >>> statistics.median(data) 1.25 >>> statistics.variance(data) 1.3720238095238095 The SciPy project <https://scipy.org> has many other modules for numerical computations.
trusted_official_docs
CPython Docs
>>> import statistics >>> data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 3.5] >>> statistics.mean(data) 1.6071428571428572 >>> statistics.median(data) 1.25 >>> statistics.variance(data) 1.3720238095238095 The SciPy project <https://scipy.org> has many other modules for numerical computations.
>>> import statistics >>> data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 3.5] >>> statistics.mean(data) 1.6071428571428572 >>> statistics.median(data) 1.25 >>> statistics.variance(data) 1.3720238095238095 The SciPy project <https://scipy.org> has many other modules for numerical computations.
python, official-docs, cpython, P0
Local_Trusted_Corpus