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pythondev | help | yep | 2019-01-25T20:51:34.566200 | Ashley | pythondev_help_Ashley_2019-01-25T20:51:34.566200 | 1,548,449,494.5662 | 4,321 |
pythondev | help | what happens when you run `python --version` | 2019-01-25T20:51:58.566600 | Ashley | pythondev_help_Ashley_2019-01-25T20:51:58.566600 | 1,548,449,518.5666 | 4,322 |
pythondev | help | 2.7.15 | 2019-01-25T20:52:09.566900 | Elza | pythondev_help_Elza_2019-01-25T20:52:09.566900 | 1,548,449,529.5669 | 4,323 |
pythondev | help | Python 2.7.15 :: Anaconda, Inc. | 2019-01-25T20:52:15.567100 | Elza | pythondev_help_Elza_2019-01-25T20:52:15.567100 | 1,548,449,535.5671 | 4,324 |
pythondev | help | and when you run `python2 --version`? | 2019-01-25T20:52:38.567800 | Ashley | pythondev_help_Ashley_2019-01-25T20:52:38.567800 | 1,548,449,558.5678 | 4,325 |
pythondev | help | I get Python 2.7.15 | 2019-01-25T20:52:53.568000 | Elza | pythondev_help_Elza_2019-01-25T20:52:53.568000 | 1,548,449,573.568 | 4,326 |
pythondev | help | so, to be clear, when you run `python --version`, it spits out `Python 2.7.15 :: Anaconda, Inc.`, and when you run `python2 --version`, you get `Python 2.7.15`, correct? | 2019-01-25T20:54:15.569100 | Ashley | pythondev_help_Ashley_2019-01-25T20:54:15.569100 | 1,548,449,655.5691 | 4,327 |
pythondev | help | well its actually py2 I apologize | 2019-01-25T20:55:04.569600 | Elza | pythondev_help_Elza_2019-01-25T20:55:04.569600 | 1,548,449,704.5696 | 4,328 |
pythondev | help | which is this py2=“/usr/local/bin/python2” | 2019-01-25T20:55:11.569900 | Elza | pythondev_help_Elza_2019-01-25T20:55:11.569900 | 1,548,449,711.5699 | 4,329 |
pythondev | help | ok, either way, it looks like those are different python executables, meaning different environments | 2019-01-25T20:55:57.570700 | Ashley | pythondev_help_Ashley_2019-01-25T20:55:57.570700 | 1,548,449,757.5707 | 4,330 |
pythondev | help | one has `bs4` installed, and the other doesn't | 2019-01-25T20:56:13.571200 | Ashley | pythondev_help_Ashley_2019-01-25T20:56:13.571200 | 1,548,449,773.5712 | 4,331 |
pythondev | help | ah I see | 2019-01-25T20:57:07.571400 | Elza | pythondev_help_Elza_2019-01-25T20:57:07.571400 | 1,548,449,827.5714 | 4,332 |
pythondev | help | Another question is dotenv a builtin module from python? | 2019-01-25T20:57:27.571900 | Elza | pythondev_help_Elza_2019-01-25T20:57:27.571900 | 1,548,449,847.5719 | 4,333 |
pythondev | help | I don't believe so | 2019-01-25T20:58:26.572100 | Ashley | pythondev_help_Ashley_2019-01-25T20:58:26.572100 | 1,548,449,906.5721 | 4,334 |
pythondev | help | ok | 2019-01-25T20:58:35.572300 | Elza | pythondev_help_Elza_2019-01-25T20:58:35.572300 | 1,548,449,915.5723 | 4,335 |
pythondev | help | huh thanks for the help | 2019-01-25T21:00:05.572500 | Elza | pythondev_help_Elza_2019-01-25T21:00:05.572500 | 1,548,450,005.5725 | 4,336 |
pythondev | help | np | 2019-01-25T21:17:01.572700 | Ashley | pythondev_help_Ashley_2019-01-25T21:17:01.572700 | 1,548,451,021.5727 | 4,337 |
pythondev | help | Yes | 2019-01-25T21:59:00.572800 | Chester | pythondev_help_Chester_2019-01-25T21:59:00.572800 | 1,548,453,540.5728 | 4,338 |
pythondev | help | Thanks for this, will try to implement an iterator protocol! | 2019-01-26T02:03:02.573200 | Conchita | pythondev_help_Conchita_2019-01-26T02:03:02.573200 | 1,548,468,182.5732 | 4,339 |
pythondev | help | For one of my apps that is meant to run continously, I noticed it stopped running. When I ssh into my server I see the screen session from where I was running the app is `deattached` | 2019-01-26T02:19:32.574500 | Conchita | pythondev_help_Conchita_2019-01-26T02:19:32.574500 | 1,548,469,172.5745 | 4,340 |
pythondev | help | Excluding human interaction, what could lead to a screen becoming `deattached`? | 2019-01-26T02:20:22.575400 | Conchita | pythondev_help_Conchita_2019-01-26T02:20:22.575400 | 1,548,469,222.5754 | 4,341 |
pythondev | help | I think that would happen if the ssh connection the screen was started from got disconnected. Normally you would purposefully detach the screen session so it would continue to run while you're not on a live connection. | 2019-01-26T02:23:42.576500 | Sasha | pythondev_help_Sasha_2019-01-26T02:23:42.576500 | 1,548,469,422.5765 | 4,342 |
pythondev | help | How do you purposefully detach the screen session to allow it to run after I log off? | 2019-01-26T02:25:18.577100 | Conchita | pythondev_help_Conchita_2019-01-26T02:25:18.577100 | 1,548,469,518.5771 | 4,343 |
pythondev | help | CTRL+A D, I believe. | 2019-01-26T02:25:40.577400 | Sasha | pythondev_help_Sasha_2019-01-26T02:25:40.577400 | 1,548,469,540.5774 | 4,344 |
pythondev | help | You should be able to reattach to the old screen session and see if your app printed out any errors. | 2019-01-26T02:27:36.577900 | Sasha | pythondev_help_Sasha_2019-01-26T02:27:36.577900 | 1,548,469,656.5779 | 4,345 |
pythondev | help | Ok thanks, will try it out. Have a :taco: <@Sasha> | 2019-01-26T02:28:09.578500 | Conchita | pythondev_help_Conchita_2019-01-26T02:28:09.578500 | 1,548,469,689.5785 | 4,346 |
pythondev | help | Can anybody help me wiith this one ? <https://codereview.stackexchange.com/questions/212270/api-client-querying-data-out-of-an-endpoint> | 2019-01-26T10:29:58.581100 | Roxanne | pythondev_help_Roxanne_2019-01-26T10:29:58.581100 | 1,548,498,598.5811 | 4,347 |
pythondev | help | Guys perhaps you could help me out a bit to flesh out a class that would implement a certain behaviour. So basically the way I want to use it is:
```
MyData['zero']['excited'].method()
``` | 2019-01-26T11:13:04.582500 | Coleen | pythondev_help_Coleen_2019-01-26T11:13:04.582500 | 1,548,501,184.5825 | 4,348 |
pythondev | help | The backstory is that I use a nested dict so far, and I want to add some methods to it. | 2019-01-26T11:13:42.583200 | Coleen | pythondev_help_Coleen_2019-01-26T11:13:42.583200 | 1,548,501,222.5832 | 4,349 |
pythondev | help | The dict is
```
MYDATA = { # mapping from executable names to what they represent
'zero' : {
'ground' : 'dish',
'excited' : 'ztes'
},
'finite' : {
'ground' : 'skys',
'excited' : 'ftes'
}
}
``` | 2019-01-26T11:15:13.583700 | Coleen | pythondev_help_Coleen_2019-01-26T11:15:13.583700 | 1,548,501,313.5837 | 4,350 |
pythondev | help | DO I have to know algorithms before learning python? | 2019-01-26T11:24:32.584300 | Wendi | pythondev_help_Wendi_2019-01-26T11:24:32.584300 | 1,548,501,872.5843 | 4,351 |
pythondev | help | Why not learn both at the same time: <http://interactivepython.org/runestone/static/pythonds/index.html> | 2019-01-26T11:25:56.584800 | Coleen | pythondev_help_Coleen_2019-01-26T11:25:56.584800 | 1,548,501,956.5848 | 4,352 |
pythondev | help | <@Coleen> what kinds of methods? | 2019-01-26T11:29:06.586600 | Chester | pythondev_help_Chester_2019-01-26T11:29:06.586600 | 1,548,502,146.5866 | 4,353 |
pythondev | help | Yea so for example the kind of stuff I'm doing with the nested dict right now:
```
# check if input files are present in the workspace
for temp in ('zero', 'finite'):
for state, suffix in zip(('ground', 'excited'), ("_dis.dat", "_start.dat")):
fpath = os.path.join(args.workspace, CODE_NAME[t... | 2019-01-26T11:32:49.587400 | Coleen | pythondev_help_Coleen_2019-01-26T11:32:49.587400 | 1,548,502,369.5874 | 4,354 |
pythondev | help | There could be a method `input_file()` which returns the corresponding file name, ie `MyData['zero']['ground'].input_file()` would return `dish_dis.dat`, | 2019-01-26T11:33:57.588100 | Coleen | pythondev_help_Coleen_2019-01-26T11:33:57.588100 | 1,548,502,437.5881 | 4,355 |
pythondev | help | Not sure it's the right abstraction, but something like this is what I had in mind. | 2019-01-26T11:37:28.588600 | Coleen | pythondev_help_Coleen_2019-01-26T11:37:28.588600 | 1,548,502,648.5886 | 4,356 |
pythondev | help | Then another method `MyData.all_input_files()` would return a list containing all input file names: [`dish_dis,dat`, `skys_dis,dat`, `ztes_start.dat`, `ftes_start.dat`] | 2019-01-26T11:38:57.590200 | Coleen | pythondev_help_Coleen_2019-01-26T11:38:57.590200 | 1,548,502,737.5902 | 4,357 |
pythondev | help | Or `MyData['zero'].input_files()` would return `[dish_dis,dat, ztes_start.dat]` and
`MyData['ground'].input_files()` would return `[dish_dis,dat, skys_dis,dat]` | 2019-01-26T11:43:44.591500 | Coleen | pythondev_help_Coleen_2019-01-26T11:43:44.591500 | 1,548,503,024.5915 | 4,358 |
pythondev | help | Does it make sense? | 2019-01-26T11:45:37.591800 | Coleen | pythondev_help_Coleen_2019-01-26T11:45:37.591800 | 1,548,503,137.5918 | 4,359 |
pythondev | help | That syntax is possible due to dynamic nature of python, but I would advise to implement a more common api:
instead of `MyData['zero']['ground'].input_file()` do `MyData.input_file('zero', 'ground')` | 2019-01-26T11:47:34.593100 | Chester | pythondev_help_Chester_2019-01-26T11:47:34.593100 | 1,548,503,254.5931 | 4,360 |
pythondev | help | Same for `MyData['zero'].input_files()`: do `MyData.input_files('zero')` instead | 2019-01-26T11:48:43.593500 | Chester | pythondev_help_Chester_2019-01-26T11:48:43.593500 | 1,548,503,323.5935 | 4,361 |
pythondev | help | I see. | 2019-01-26T11:48:55.593700 | Coleen | pythondev_help_Coleen_2019-01-26T11:48:55.593700 | 1,548,503,335.5937 | 4,362 |
pythondev | help | And I would store the nested dict inside the class right? | 2019-01-26T11:49:09.594100 | Coleen | pythondev_help_Coleen_2019-01-26T11:49:09.594100 | 1,548,503,349.5941 | 4,363 |
pythondev | help | Yes | 2019-01-26T11:49:13.594300 | Chester | pythondev_help_Chester_2019-01-26T11:49:13.594300 | 1,548,503,353.5943 | 4,364 |
pythondev | help | ```
class MyData:
def __init__(self, data):
self._data = data
def input_file(self, first, second):
return self._data[first][second] + '_dis.dat'
```
Something like that. | 2019-01-26T11:50:31.595400 | Chester | pythondev_help_Chester_2019-01-26T11:50:31.595400 | 1,548,503,431.5954 | 4,365 |
pythondev | help | :slightly_smiling_face: | 2019-01-26T11:50:43.595600 | Coleen | pythondev_help_Coleen_2019-01-26T11:50:43.595600 | 1,548,503,443.5956 | 4,366 |
pythondev | help | Btw, there is nothing wrong with not having methods on your `MyData` class and write functions instead, that operate on dictionaries | 2019-01-26T11:51:38.596800 | Chester | pythondev_help_Chester_2019-01-26T11:51:38.596800 | 1,548,503,498.5968 | 4,367 |
pythondev | help | what do you mean? | 2019-01-26T11:52:03.597100 | Coleen | pythondev_help_Coleen_2019-01-26T11:52:03.597100 | 1,548,503,523.5971 | 4,368 |
pythondev | help | ```
def input_file(data, first, second):
return data[first][second] + '_dis.dat'
``` | 2019-01-26T11:53:17.598400 | Chester | pythondev_help_Chester_2019-01-26T11:53:17.598400 | 1,548,503,597.5984 | 4,369 |
pythondev | help | Where `data` is your dictionary | 2019-01-26T11:53:27.598700 | Chester | pythondev_help_Chester_2019-01-26T11:53:27.598700 | 1,548,503,607.5987 | 4,370 |
pythondev | help | Oh you mean not writing a class at all | 2019-01-26T11:53:41.599100 | Coleen | pythondev_help_Coleen_2019-01-26T11:53:41.599100 | 1,548,503,621.5991 | 4,371 |
pythondev | help | Exactly | 2019-01-26T11:53:45.599300 | Chester | pythondev_help_Chester_2019-01-26T11:53:45.599300 | 1,548,503,625.5993 | 4,372 |
pythondev | help | But I feel the dict and these functions belong together. | 2019-01-26T11:54:02.599900 | Coleen | pythondev_help_Coleen_2019-01-26T11:54:02.599900 | 1,548,503,642.5999 | 4,373 |
pythondev | help | Maybe, maybe not - you can always refactor a bunch of functions into a class later. | 2019-01-26T11:54:52.600500 | Chester | pythondev_help_Chester_2019-01-26T11:54:52.600500 | 1,548,503,692.6005 | 4,374 |
pythondev | help | And since the nested dict was a global constant before, should I make this class a singleton? | 2019-01-26T11:55:12.601100 | Coleen | pythondev_help_Coleen_2019-01-26T11:55:12.601100 | 1,548,503,712.6011 | 4,375 |
pythondev | help | Extracting methods from classes, on the other hand, may be difficult because of uncontrollable implicit dependencies on `self` | 2019-01-26T11:55:20.601300 | Chester | pythondev_help_Chester_2019-01-26T11:55:20.601300 | 1,548,503,720.6013 | 4,376 |
pythondev | help | You see, singletons are a thing in java, but in python there is nothing wrong with a regular global variable :slightly_smiling_face: | 2019-01-26T11:56:02.601900 | Chester | pythondev_help_Chester_2019-01-26T11:56:02.601900 | 1,548,503,762.6019 | 4,377 |
pythondev | help | Because of how imports work in python, you get singleton behavior out of the box | 2019-01-26T11:56:24.602600 | Chester | pythondev_help_Chester_2019-01-26T11:56:24.602600 | 1,548,503,784.6026 | 4,378 |
pythondev | help | Yes, but if the variable becomes a class? | 2019-01-26T11:56:30.602800 | Coleen | pythondev_help_Coleen_2019-01-26T11:56:30.602800 | 1,548,503,790.6028 | 4,379 |
pythondev | help | You'll need to instantiate it somewhere, yeah. `my_data = MyData()`. And only then you'll be able to call methods on `my_data` | 2019-01-26T11:57:07.603900 | Chester | pythondev_help_Chester_2019-01-26T11:57:07.603900 | 1,548,503,827.6039 | 4,380 |
pythondev | help | But the problem is I will have to instantiate it at the top level of the module. | 2019-01-26T11:57:38.604400 | Coleen | pythondev_help_Coleen_2019-01-26T11:57:38.604400 | 1,548,503,858.6044 | 4,381 |
pythondev | help | Why is this a problem? | 2019-01-26T11:57:46.604700 | Chester | pythondev_help_Chester_2019-01-26T11:57:46.604700 | 1,548,503,866.6047 | 4,382 |
pythondev | help | Because it's used in various functions. | 2019-01-26T11:57:52.604900 | Coleen | pythondev_help_Coleen_2019-01-26T11:57:52.604900 | 1,548,503,872.6049 | 4,383 |
pythondev | help | Because it creates a global var. | 2019-01-26T11:58:03.605300 | Coleen | pythondev_help_Coleen_2019-01-26T11:58:03.605300 | 1,548,503,883.6053 | 4,384 |
pythondev | help | So I read global constants are OK in Python, but not global vars? | 2019-01-26T11:58:41.605700 | Coleen | pythondev_help_Coleen_2019-01-26T11:58:41.605700 | 1,548,503,921.6057 | 4,385 |
pythondev | help | Uhm | 2019-01-26T11:59:09.606100 | Chester | pythondev_help_Chester_2019-01-26T11:59:09.606100 | 1,548,503,949.6061 | 4,386 |
pythondev | help | There are no constants in python | 2019-01-26T11:59:45.607000 | Chester | pythondev_help_Chester_2019-01-26T11:59:45.607000 | 1,548,503,985.607 | 4,387 |
pythondev | help | <@Coleen> global constants are fine in Python because they are unchanging, hence the name "constant", but global variables are a code smell (usually) because things in multiple parts of your code migght depend on those things and have to change them, but you can't know which parts will do so, or when they'll do it, so ... | 2019-01-26T12:00:47.608100 | Ashley | pythondev_help_Ashley_2019-01-26T12:00:47.608100 | 1,548,504,047.6081 | 4,388 |
pythondev | help | <@Chester> is right that there are no constants in python | 2019-01-26T12:00:59.608400 | Ashley | pythondev_help_Ashley_2019-01-26T12:00:59.608400 | 1,548,504,059.6084 | 4,389 |
pythondev | help | but you can create objects that you treat as constants | 2019-01-26T12:01:09.608700 | Ashley | pythondev_help_Ashley_2019-01-26T12:01:09.608700 | 1,548,504,069.6087 | 4,390 |
pythondev | help | and that's fine | 2019-01-26T12:01:24.609000 | Ashley | pythondev_help_Ashley_2019-01-26T12:01:24.609000 | 1,548,504,084.609 | 4,391 |
pythondev | help | how | 2019-01-26T12:01:27.609400 | Coleen | pythondev_help_Coleen_2019-01-26T12:01:27.609400 | 1,548,504,087.6094 | 4,392 |
pythondev | help | you'll see that commonly done to avoid things like "magic numbers" | 2019-01-26T12:01:36.609800 | Ashley | pythondev_help_Ashley_2019-01-26T12:01:36.609800 | 1,548,504,096.6098 | 4,393 |
pythondev | help | by giving them a name in capitals? :slightly_smiling_face: | 2019-01-26T12:01:53.610400 | Coleen | pythondev_help_Coleen_2019-01-26T12:01:53.610400 | 1,548,504,113.6104 | 4,394 |
pythondev | help | you just create an object in the global namespace of a module like any other | 2019-01-26T12:02:00.610700 | Ashley | pythondev_help_Ashley_2019-01-26T12:02:00.610700 | 1,548,504,120.6107 | 4,395 |
pythondev | help | Yes. A capitalized variable doesn't differ from a non-capitalized variable. | 2019-01-26T12:02:18.611400 | Chester | pythondev_help_Chester_2019-01-26T12:02:18.611400 | 1,548,504,138.6114 | 4,396 |
pythondev | help | all-caps names are a good indicator to othhers that they are constants, and you should definitely do that | 2019-01-26T12:02:22.611500 | Ashley | pythondev_help_Ashley_2019-01-26T12:02:22.611500 | 1,548,504,142.6115 | 4,397 |
pythondev | help | but what makes them ok is how they are meant to be used | 2019-01-26T12:02:38.611800 | Ashley | pythondev_help_Ashley_2019-01-26T12:02:38.611800 | 1,548,504,158.6118 | 4,398 |
pythondev | help | but if someone else takes my code and he doesn't know how this class is meant to be used? | 2019-01-26T12:03:11.612800 | Coleen | pythondev_help_Coleen_2019-01-26T12:03:11.612800 | 1,548,504,191.6128 | 4,399 |
pythondev | help | for example, if I create this: `NY_TAX_RATE = 0.0725`, that's fine | 2019-01-26T12:03:15.613000 | Ashley | pythondev_help_Ashley_2019-01-26T12:03:15.613000 | 1,548,504,195.613 | 4,400 |
pythondev | help | that's why you make them all caps | 2019-01-26T12:03:33.613500 | Ashley | pythondev_help_Ashley_2019-01-26T12:03:33.613500 | 1,548,504,213.6135 | 4,401 |
pythondev | help | because it tells other developers that they shouldn't change those things | 2019-01-26T12:03:45.614000 | Ashley | pythondev_help_Ashley_2019-01-26T12:03:45.614000 | 1,548,504,225.614 | 4,402 |
pythondev | help | similarly, python doesn't have private attributes | 2019-01-26T12:04:02.614700 | Ashley | pythondev_help_Ashley_2019-01-26T12:04:02.614700 | 1,548,504,242.6147 | 4,403 |
pythondev | help | <@Coleen> to solve that particular problem, we write docstrings for classes, methods and functions. In these docstrings we show examples and explain how this class/method/function should be used | 2019-01-26T12:04:14.615200 | Chester | pythondev_help_Chester_2019-01-26T12:04:14.615200 | 1,548,504,254.6152 | 4,404 |
pythondev | help | but we try to tell other developers when we want them to treat an attribute as private by starting it with a `_`, e.g. `_super_secret_thing` | 2019-01-26T12:04:32.615700 | Ashley | pythondev_help_Ashley_2019-01-26T12:04:32.615700 | 1,548,504,272.6157 | 4,405 |
pythondev | help | that too | 2019-01-26T12:04:41.615900 | Ashley | pythondev_help_Ashley_2019-01-26T12:04:41.615900 | 1,548,504,281.6159 | 4,406 |
pythondev | help | :slightly_smiling_face: | 2019-01-26T12:04:52.616200 | Coleen | pythondev_help_Coleen_2019-01-26T12:04:52.616200 | 1,548,504,292.6162 | 4,407 |
pythondev | help | the abstractions were written because you wanted your code to be easy to use | 2019-01-26T12:05:10.616600 | Ashley | pythondev_help_Ashley_2019-01-26T12:05:10.616600 | 1,548,504,310.6166 | 4,408 |
pythondev | help | if people are finding it easier to use your "private" attributes than the other things meant for that, then you either didn't make something easy to use, or you didn't document it sufficiently enough | 2019-01-26T12:05:50.617500 | Ashley | pythondev_help_Ashley_2019-01-26T12:05:50.617500 | 1,548,504,350.6175 | 4,409 |
pythondev | help | on a related note, the bit about global objects that aren't constants being a code smell is what <@Chester> was saying regarding "singleton behavior out of the box". But that's why it's a code smell | 2019-01-26T12:09:54.618700 | Ashley | pythondev_help_Ashley_2019-01-26T12:09:54.618700 | 1,548,504,594.6187 | 4,410 |
pythondev | help | I see | 2019-01-26T12:14:07.619300 | Coleen | pythondev_help_Coleen_2019-01-26T12:14:07.619300 | 1,548,504,847.6193 | 4,411 |
pythondev | help | Thanks guys! | 2019-01-26T12:16:20.619600 | Coleen | pythondev_help_Coleen_2019-01-26T12:16:20.619600 | 1,548,504,980.6196 | 4,412 |
pythondev | help | np! | 2019-01-26T12:25:11.619800 | Ashley | pythondev_help_Ashley_2019-01-26T12:25:11.619800 | 1,548,505,511.6198 | 4,413 |
pythondev | help | hello may i ask you guys something, idid install windows and linux along each other but after i shut down linux and open my pc again to activate windows, windows get stucked or i can hear the sound of operating system opening but screen is black still and i have to force shut down again and again until it opens normal... | 2019-01-26T12:33:01.621900 | Janessa | pythondev_help_Janessa_2019-01-26T12:33:01.621900 | 1,548,505,981.6219 | 4,414 |
pythondev | help | <@Janessa> I'd guess it's either a corrupted install of windows, loose/janky video cable to the display, bad video driver (try rebooting a few times into safe mode to see if it consistently boots with no problems), or a bad GPU | 2019-01-26T12:45:49.623600 | Ashley | pythondev_help_Ashley_2019-01-26T12:45:49.623600 | 1,548,506,749.6236 | 4,415 |
pythondev | help | <@Ashley> actually i had windows just installed linux along with it with partitions | 2019-01-26T12:48:10.624500 | Janessa | pythondev_help_Janessa_2019-01-26T12:48:10.624500 | 1,548,506,890.6245 | 4,416 |
pythondev | help | yeah, it could still be something like a bad sector on yourr hard drive | 2019-01-26T12:48:49.624800 | Ashley | pythondev_help_Ashley_2019-01-26T12:48:49.624800 | 1,548,506,929.6248 | 4,417 |
pythondev | help | IIRC the install disc for windows should have an analysis tool you can run to see if anything is messed up | 2019-01-26T12:49:19.625400 | Ashley | pythondev_help_Ashley_2019-01-26T12:49:19.625400 | 1,548,506,959.6254 | 4,418 |
pythondev | help | can i download this tool? | 2019-01-26T12:55:31.626000 | Janessa | pythondev_help_Janessa_2019-01-26T12:55:31.626000 | 1,548,507,331.626 | 4,419 |
pythondev | help | oh, no you just boot into the install media that you installed it from | 2019-01-26T12:58:53.626400 | Ashley | pythondev_help_Ashley_2019-01-26T12:58:53.626400 | 1,548,507,533.6264 | 4,420 |
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