Search is not available for this dataset
repo_id stringlengths 12 110 | file_path stringlengths 24 164 | content stringlengths 3 89.3M | __index_level_0__ int64 0 0 |
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public_repos/pandas/web | public_repos/pandas/web/pandas/versions.json | [
{
"name": "dev",
"version": "dev",
"url": "https://pandas.pydata.org/docs/dev/"
},
{
"name": "2.1 (stable)",
"version": "2.1",
"url": "https://pandas.pydata.org/docs/"
},
{
"name": "2.0",
"version": "2.0",
"url": "https://pand... | 0 |
public_repos/pandas/web | public_repos/pandas/web/pandas/index.html | {% extends "layout.html" %}
{% block body %}
<div class="container">
<div class="row">
<div class="col-md-9">
<section class="h-30 p-5 bg-light border rounded-3 text-center mb-4">
<h1>pandas</h1>
<p>
<strong>pandas</... | 0 |
public_repos/pandas/web | public_repos/pandas/web/pandas/getting_started.md | # Getting started
## Installation instructions
The next steps provides the easiest and recommended way to set up your
environment to use pandas. Other installation options can be found in
the [advanced installation page]({{ base_url}}docs/getting_started/install.html).
1. Download [Anaconda](https://www.anaconda.com... | 0 |
public_repos/pandas/web | public_repos/pandas/web/pandas/donate.md | # Donate to pandas
<div id="salsalabs-donate-container">
</div>
<script type="text/javascript"
src="https://default.salsalabs.org/api/widget/template/4ba4e328-1855-47c8-9a89-63e4757d2151/?tId=salsalabs-donate-container">
</script>
_pandas_ is a Sponsored Project of [NumFOCUS](https://numfocus.org/), a 501(c)(... | 0 |
public_repos/pandas/web | public_repos/pandas/web/pandas/robots.txt | User-agent: *
Disallow: /preview/
| 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/about/team.md | # Team
## Contributors
_pandas_ is made with love by more than [2,000 volunteer contributors](https://github.com/pandas-dev/pandas/graphs/contributors).
If you want to support pandas development, you can find information in the [donations page]({{ base_url }}donate.html).
## Active maintainers
<div class="card-gro... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/about/roadmap.md | # Roadmap
This page provides an overview of the major themes in pandas'
development. Each of these items requires a relatively large amount of
effort to implement. These may be achieved more quickly with dedicated
funding or interest from contributors.
An item being on the roadmap does not mean that it will *necessar... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/about/sponsors.md | # Sponsors
## NumFOCUS
_pandas_ is a Sponsored Project of [NumFOCUS](https://numfocus.org/), a 501(c)(3) nonprofit charity in the United States.
NumFOCUS provides _pandas_ with fiscal, legal, and administrative support to help ensure the
health... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/about/index.md | # About pandas
## History of development
In 2008, _pandas_ development began at [AQR Capital Management](https://www.aqr.com).
By the end of 2009 it had been [open sourced](https://en.wikipedia.org/wiki/Open_source),
and is actively supported today by a community of like-minded individuals around the world who
contri... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/about/citing.md | # Citing and logo
## Citing pandas
If you use _pandas_ for a scientific publication, we would appreciate citations to the published software and the
following paper:
- [pandas on Zenodo](https://zenodo.org/search?page=1&size=20&q=conceptrecid%3A%223509134%22&sort=-version&all_versions=True),
Please find us on Zen... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/about/governance.md | # Project governance
The official version of this document, along with a list of
individuals and institutions in the roles defined in the governance
section below, is contained in the
[Project governance]({{ base_url }}about/governance.html)
page of the pandas website.
## The Project
The pandas Project (The Project)... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/pdeps/0006-ban-upcasting.md | # PDEP-6: Ban upcasting in setitem-like operations
- Created: 23 December 2022
- Status: Accepted
- Discussion: [#39584](https://github.com/pandas-dev/pandas/pull/50402)
- Author: [Marco Gorelli](https://github.com/MarcoGorelli) ([original issue](https://github.com/pandas-dev/pandas/issues/39584) by [Joris Van den Bos... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/pdeps/0012-compact-and-reversible-JSON-interface.md | # PDEP-12: Compact and reversible JSON interface
- Created: 16 June 2023
- Status: Rejected
- Discussion:
[#53252](https://github.com/pandas-dev/pandas/issues/53252)
[#55038](https://github.com/pandas-dev/pandas/issues/55038)
- Author: [Philippe THOMY](https://github.com/loco-philippe)
- Revision: 3
##### Sum... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/pdeps/0005-no-default-index-mode.md | # PDEP-5: NoRowIndex
- Created: 14 November 2022
- Status: Withdrawn
- Discussion: [#49693](https://github.com/pandas-dev/pandas/pull/49693)
- Author: [Marco Gorelli](https://github.com/MarcoGorelli)
- Revision: 2
## Abstract
The suggestion is to add a ``NoRowIndex`` class. Internally, it would act a bit like
a ``Ra... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/pdeps/0009-io-extensions.md | # PDEP-9: Allow third-party projects to register pandas connectors with a standard API
- Created: 5 March 2023
- Status: Rejected
- Discussion: [#51799](https://github.com/pandas-dev/pandas/pull/51799)
[#53005](https://github.com/pandas-dev/pandas/pull/53005)
- Author: [Marc Garcia](https://github.com/da... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/pdeps/0001-purpose-and-guidelines.md | # PDEP-1: Purpose and guidelines
- Created: 3 August 2022
- Status: Accepted
- Discussion: [#47444](https://github.com/pandas-dev/pandas/pull/47444),
[#51417](https://github.com/pandas-dev/pandas/pull/51417)
- Author: [Marc Garcia](https://github.com/datapythonista),
[Noa Tamir](https://github.com/noatamir)
- Revi... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/pdeps/0004-consistent-to-datetime-parsing.md | # PDEP-4: Consistent datetime parsing
- Created: 18 September 2022
- Status: Implemented
- Discussion: [#48621](https://github.com/pandas-dev/pandas/pull/48621)
- Author: [Marco Gorelli](https://github.com/MarcoGorelli)
- Revision: 2
## Abstract
The suggestion is that:
- ``to_datetime`` becomes strict and uses the ... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/pdeps/0007-copy-on-write.md | # PDEP-7: Consistent copy/view semantics in pandas with Copy-on-Write
- Created: July 2021
- Status: Accepted
- Discussion: [#36195](https://github.com/pandas-dev/pandas/issues/36195)
- Author: [Joris Van den Bossche](https://github.com/jorisvandenbossche)
- Revision: 1
## Abstract
Short summary of the proposal:
1.... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/pdeps/0010-required-pyarrow-dependency.md | # PDEP-10: PyArrow as a required dependency for default string inference implementation
- Created: 17 April 2023
- Status: Accepted
- Discussion: [#52711](https://github.com/pandas-dev/pandas/pull/52711)
[#52509](https://github.com/pandas-dev/pandas/issues/52509)
- Author: [Matthew Roeschke](https://gith... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/community/coc.md | # Code of conduct
As contributors and maintainers of this project, and in the interest of
fostering an open and welcoming community, we pledge to respect all people who
contribute through reporting issues, posting feature requests, updating
documentation, submitting pull requests or patches, and other activities.
We ... | 0 |
public_repos/pandas/web/pandas | public_repos/pandas/web/pandas/community/ecosystem.md | # Ecosystem
Increasingly, packages are being built on top of pandas to address
specific needs in data preparation, analysis and visualization. This is
encouraging because it means pandas is not only helping users to handle
their data tasks but also that it provides a better starting point for
developers to build power... | 0 |
public_repos/pandas/web/pandas/community | public_repos/pandas/web/pandas/community/blog/asv-pandas-grant.md | Title: Write up of the NumFOCUS grant to improve pandas benchmarks and diversity
Date: 2022-04-01
# Write up of the NumFOCUS grant to improve pandas benchmarks and diversity
*By Lucy Jiménez and Dorothy Kabarozi B.*
We want to share our experience working on **Improvements to the**
**ASV benchmarking framework and d... | 0 |
public_repos/pandas/web/pandas/community | public_repos/pandas/web/pandas/community/blog/2019-user-survey.md | Title: 2019 pandas user survey
Date: 2019-08-22
<style type="text/css">
table td {
background: none;
}
table tr.even td {
background: none;
}
table {
text-shadow: none;
}
</style>
# 2019 pandas user survey
Pandas recently conducted a user survey to help guide future development.
Thanks to everyone who pa... | 0 |
public_repos/pandas/web/pandas/community | public_repos/pandas/web/pandas/community/blog/index.html | {% extends "layout.html" %}
{% block body %}
{% for post in blog.posts %}
<div class="card">
<div class="card-body">
<h5 class="card-title"><a href="{% if not post.link.startswith("http") %}{{ base_url }}{% endif %}{{ post.link }}" target="_blank">{{ post.title }}</a></h5>
... | 0 |
public_repos/pandas/web/pandas/community | public_repos/pandas/web/pandas/community/blog/pandas-1.0.md | Title: pandas 1.0
Date: 2020-01-29
# pandas 1.0
Today pandas celebrates its 1.0.0 release. In many ways this is just a normal release with a host of new features, performance improvements, and bug fixes, which are documented in our [release notes](https://pandas.pydata.org/pandas-docs/version/1.0.0/whatsnew/v1.0.0.ht... | 0 |
public_repos/pandas/web/pandas/community | public_repos/pandas/web/pandas/community/blog/extension-arrays.md | Title: pandas extension arrays
Date: 2019-01-04
# pandas extension arrays
Extensibility was a major theme in pandas development over the last couple of
releases. This post introduces the pandas extension array interface: the
motivation behind it and how it might affect you as a pandas user. Finally, we
look at how ex... | 0 |
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<html>
<head>
<script defer data-domain="pandas.pydata.org" src="https://views.scientific-python.org/js/script.js"></script>
<title>pandas - Python Data Analysis Library</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1,... | 0 |
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public_repos | public_repos/cloud-training-workshop/odsc_workshop_train.py | import torch
import torch.nn.functional as F
import torch.optim as optim
import torchvision as tv
from lightning.pytorch import LightningModule, Trainer
from lightning.pytorch.callbacks import ModelCheckpoint, TQDMProgressBar
from lightning.pytorch.utilities.model_helpers import get_torchvision_model
from torchmetrics ... | 0 |
public_repos | public_repos/cloud-training-workshop/imagenet_utils.py | import os
import json
import numpy as np
import torchvision.transforms as T
import os
from PIL import Image
def load_imagenet_class_names_to_index_map():
# download ImageNet class mapping
os.system("curl https://raw.githubusercontent.com/raghakot/keras-vis/master/resources/imagenet_class_index.json -o ~/imagen... | 0 |
public_repos | public_repos/cloud-training-workshop/README.md | # cloud-training-workshop
## Data preparation
To get started with this workshop, you can refer to the [`odsc_workshop_data.ipynb`](https://github.com/Lightning-AI/cloud-training-workshop/blob/main/odsc_workshop_data.ipynb) notebook. This notebook is divided into two key sections:
1. **Optimizing ImageNet with Light... | 0 |
public_repos | public_repos/cloud-training-workshop/odsc_workshop_data.ipynb | s3_path = <your path>from lightning import LightningDataModule
from lightning.data import StreamingDataset, StreamingDataLoader, DatasetOptimizer
import torchvision.transforms as T
from PIL import Image
from tqdm.auto import tqdm
from imagenet_utils import get_class_index_from_filepath, to_rgb, shuffle, load_imagenet_v... | 0 |
public_repos | public_repos/langchain-teacher/lc_main.py | import streamlit as st
from langchain.chat_models import ChatOpenAI
from langchain.schema import HumanMessage, AIMessage
from langsmith import Client
from langchain.callbacks.base import BaseCallbackHandler
from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder, HumanMessagePromptTemplate
from langchain.... | 0 |
public_repos | public_repos/langchain-teacher/main.py | from langchain.callbacks.base import BaseCallbackHandler
from langchain.chat_models import ChatOpenAI
from langchain.schema import HumanMessage, AIMessage
import streamlit as st
from langsmith import Client
client = Client()
st.set_page_config(page_title="LangChain: Getting Started Class", page_icon="🦜")
st.title("... | 0 |
public_repos | public_repos/langchain-teacher/guide.txt | Quickstart
Installation
To install LangChain run:
Pip
Conda
pip install langchain
For more details, see our Installation guide.
Environment setup
Using LangChain will usually require integrations with one or more model providers, data stores, APIs, etc. For this example, we'll use OpenAI's model APIs.
First we'll n... | 0 |
public_repos | public_repos/langchain-teacher/requirements.txt | openai
langchain>=0.0.315
streamlit
anthropic
pydantic<2
| 0 |
public_repos | public_repos/langchain-teacher/get_prompt.py | from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder, HumanMessagePromptTemplate
from langchain.schema import SystemMessage
from langchain.memory import ConversationBufferMemory
def load_prompt(content):
template = """You are an expert educator, and are responsible for walking the user \
through th... | 0 |
public_repos | public_repos/langchain-teacher/.env-example | OPENAI_API_KEY=
LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
LANGCHAIN_API_KEY=
LANGCHAIN_TRACING_V2=true
LANGCHAIN_PROJECT= | 0 |
public_repos | public_repos/langchain-teacher/README.md |
# LangChain-Teacher
## Description
LangChain-Teacher's goal is to facilitate interactive learning of LangChain, enabling users to begin with the Python-based LangChain through a chat-based learning interface. The app offers two teaching styles: Instructional, which provides ste... | 0 |
public_repos | public_repos/langchain-teacher/lcel.py | import langchain
from langchain.callbacks.base import BaseCallbackHandler
from langchain.chat_models import ChatOpenAI, ChatAnthropic
from langchain.schema import HumanMessage, AIMessage
import streamlit as st
from langsmith import Client
client = Client()
st.set_page_config(page_title="LangChain: Getting Started Cl... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lc_guides/prompt_guide.txt | ## Prompts and Prompt Templates in LangChain
### Introduction to Prompts
A **prompt** for a language model serves as a set of instructions or input that guides the model's response. It helps the model understand context and generate relevant language-based output. This is crucial for tasks such as answering questions ... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lc_guides/agents_guide.txt |
## Agents in LangChain
### Introduction
Welcome to the comprehensive lesson on Agents in LangChain. In this guide, we'll delve deep into the world of agents, their role in enhancing the capabilities of Large Language Models (LLMs), and how to effectively utilize them within the LangChain library.
#### What are Agen... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lc_guides/memory_guide.txt | **Lesson: Understanding Different Memory Types in Langchain**
---
### 1. Conversation Buffer Memory
**Definition and Purpose:** Conversation Buffer Memory is a memory type that stores and manages a history of past messages exchanged between the user and the AI. It serves as a continuous record of the conversation's... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lc_guides/models_guide.txt | ## Understanding Different Types of Language Models in LangChain
### Introduction to Language Models
Language models are essential tools in natural language processing that enable computers to understand and generate human language. LangChain provides interfaces and integrations for three main types of language models... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lc_guides/getting_started_guide.txt | **Getting Started with LangChain: Building LLM-Powered Applications**
In this comprehensive lesson, we'll dive into the world of LangChain, an open-source framework that empowers developers to create applications using Large Language Models (LLMs) like GPT-4. We'll cover various aspects of LangChain, from its core con... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lc_guides/chains_guide.txt | You're right, my previous lesson on Chains in Langchain was too brief. Here is an expanded version with more details, examples, and code snippets:
# Chains in Langchain
## Introduction
Chains are a core concept in Langchain that enable combining multiple components like language models, retrievers, routers, etc. int... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lc_guides/retrieval_guide.txt | Here is a consolidated lesson on Retrieval Augmented Generation in Langchain with sections, questions, answers, and code examples:
# Retrieval Augmented Generation in Langchain
## Introduction
Retrieval augmented generation (RAG) refers to combining large language models with external knowledge sources to improve th... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lcel/lesson.txt | ## First part: general understanding
The LangChain Expression Language allows you to easily create chains of different components like prompts, models, retrievers, etc. This is a new type of way to contruct chains. There are two main benefits: a standard interface and easying piping.
### Standard Interface
All chain... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lcel/guide.md |
# Cookbook
In this notebook we'll take a look at a few common types of sequences to
create.
## PromptTemplate + LLM
A PromptTemplate -> LLM is a core chain that is used in most other larger
chains/systems.
from langchain.prompts import ChatPromptTemplate
from langchain.chat_models import ChatO... | 0 |
public_repos/langchain-teacher | public_repos/langchain-teacher/lcel/interface.md |
# Interface
In an effort to make it as easy as possible to create custom chains, we've
implemented a "Runnable" protocol that most components implement. This is a
standard interface with a few different methods, which makes it easy to define
custom chains as well as making it possible to invoke them in a standard way... | 0 |
public_repos | public_repos/numpy-financial/LICENSE.txt | Copyright (c) 2005-2019, NumPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and... | 0 |
public_repos | public_repos/numpy-financial/pyproject.toml | [build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "numpy-financial"
version = "1.1.0.dev0"
description = "Simple financial functions"
license = "BSD-3-Clause"
authors = ["Travis E. Oliphant et al."]
maintainers = ["Numpy Financial Developers <numpy-discussion@pyt... | 0 |
public_repos | public_repos/numpy-financial/README.md | # NumPy Financial
The `numpy-financial` package contains a collection of elementary financial
functions.
The [financial functions in NumPy](https://numpy.org/doc/1.17/reference/routines.financial.html)
are deprecated and eventually will be removed from NumPy; see
[NEP-32](https://numpy.org/neps/nep-0032-remove-financ... | 0 |
public_repos/numpy-financial | public_repos/numpy-financial/doc/make.bat | @ECHO OFF
pushd %~dp0
REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set SOURCEDIR=source
set BUILDDIR=build
if "%1" == "" goto help
%SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 (
echo.
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
... | 0 |
public_repos/numpy-financial | public_repos/numpy-financial/doc/Makefile | # Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line, and also
# from the environment for the first two.
SPHINXOPTS ?=
SPHINXBUILD ?= sphinx-build
SOURCEDIR = source
BUILDDIR = build
# Put it first so that "make" without argument is like "make help".
help:
@... | 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/generate_rst_function_files.py |
# This script was used to generate the rst function stubs
# numpy_financial.fv.rst, numpy_financial.ipmt.rst, etc.
# It requires that numpy_financial is already installed,
# although it could just as easily use a hard-coded list
# of function names.
import numpy_financial as nf
def generate_rst_function_files():
... | 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/pmt.rst | pmt
===
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: pmt
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/pv.rst | pv
==
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: pv
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/irr.rst | irr
===
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: irr
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/fv.rst | fv
==
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: fv
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/nper.rst | nper
====
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: nper
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/index.rst |
numpy-financial |version|
=========================
The `numpy-financial` package is a collection of elementary financial
functions.
The `financial functions in NumPy <https://numpy.org/doc/1.17/reference/routines.financial.html>`_
are deprecated and eventually will be removed from NumPy; see
`NEP-32 <https://numpy.... | 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/release-notes.rst | Release Notes
-------------
1.1.0
~~~~~
* **1.1.0 is not released yet.**
1.0.0
~~~~~
* The transition of the source code from NumPy to this package is complete.
0.2.0
~~~~~
* Removed the use of `numpy.core.overrides.array_function_dispatch` to create
wrappers of the financial functions.
* Support NumPy versions bac... | 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/ppmt.rst | ppmt
====
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: ppmt
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/npv.rst | npv
===
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: npv
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/mirr.rst | mirr
====
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: mirr
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/rate.rst | rate
====
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: rate
| 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import numpy_financial
# -- Path setup -----------------------------------------------... | 0 |
public_repos/numpy-financial/doc | public_repos/numpy-financial/doc/source/ipmt.rst | ipmt
====
.. currentmodule:: numpy_financial
.. toctree::
.. autofunction:: ipmt
| 0 |
public_repos/numpy-financial/doc/source | public_repos/numpy-financial/doc/source/_static/numpy_financial_logov.svg | <?xml version="1.0" encoding="UTF-8" ?>
<svg width="196.10000000000002" height="44" xmlns="http://www.w3.org/2000/svg">
<style> .mytext { font-size: 26px; font-family: monospace; } </style>
<rect x="0" y="0" width="44" height="44" fill="#336699" stroke-width="0" />
<rect x="2.0" y="33.25" width="7" height="8.75" fill="... | 0 |
public_repos/numpy-financial | public_repos/numpy-financial/doc_developer/getting_the_code.md | # Getting the code
This document explains how to get the source code for NumPy-Financial using Git.
## Code Location
NumPy-Financial is hosted on GitHub. The repository URL is https://github.com/numpy/numpy-financial.
## Creating a fork
To create a fork click the green "fork" button at the top right of the page. T... | 0 |
public_repos/numpy-financial | public_repos/numpy-financial/doc_developer/building_with_poetry.md | # Building with poetry
## Installing poetry
numpy-financial uses [poetry](https://python-poetry.org/) to manage
dependencies, build wheels and sdists, and publish to PyPI this page documents
how to work with poetry.
To install poetry follow their [official guide](https://python-poetry.org/docs/#installing-with-the-o... | 0 |
public_repos/numpy-financial | public_repos/numpy-financial/numpy_financial/_financial.py | """Some simple financial calculations
patterned after spreadsheet computations.
There is some complexity in each function
so that the functions behave like ufuncs with
broadcasting and being able to be called with scalars
or arrays (or other sequences).
Functions support the :class:`decimal.Decimal` type unless
othe... | 0 |
public_repos/numpy-financial | public_repos/numpy-financial/numpy_financial/__init__.py |
__version__ = "1.1.0.dev0"
from ._financial import *
| 0 |
public_repos/numpy-financial | public_repos/numpy-financial/tests/test_financial.py | from decimal import Decimal
import math
# Don't use 'import numpy as np', to avoid accidentally testing
# the versions in numpy instead of numpy_financial.
import numpy
from numpy.testing import (
assert_, assert_almost_equal, assert_allclose, assert_equal, assert_raises
)
import pytest
import numpy_financial as ... | 0 |
public_repos/numpy-financial | public_repos/numpy-financial/docweb/README.txt | This directory contains the files for the top-level online documentation.
If these files are changed, the changes must be copied over to the top directory
of the gh-pages branch.
| 0 |
public_repos/numpy-financial | public_repos/numpy-financial/docweb/index.html | <!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="" xml:lang="">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
<title>numpy-financial</title>
<style type="text/css">
code{white-space: pre-wrap;}
span.smallca... | 0 |
public_repos/numpy-financial/docweb | public_repos/numpy-financial/docweb/css/home.css |
body {
margin: auto;
padding-right: 1em;
padding-left: 1em;
max-width: 48em;
color: black;
font-family: sans-serif;
font-size: 100%;
line-height: 125%;
color: #333;
}
pre {
border: 1px dotted gray;
background-color: #E8E8E8;
color: #101010;
padding: 0.5em;
}
code {
... | 0 |
public_repos/numpy-financial/docweb | public_repos/numpy-financial/docweb/images/numpy_financial_logoh.svg | <?xml version="1.0" encoding="UTF-8" ?>
<svg width="435.3" height="44" xmlns="http://www.w3.org/2000/svg">
<style> .mytext { font-size: 43px; font-family: monospace; } </style>
<rect x="0" y="0" width="44" height="44" fill="#336699" stroke-width="0" />
<rect x="2.0" y="33.25" width="7" height="8.75" fill="#FFF060" stro... | 0 |
public_repos | public_repos/langsmith-wrappers/poetry.lock | # This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
[[package]]
name = "annotated-types"
version = "0.5.0"
description = "Reusable constraint types to use with typing.Annotated"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "annotated_types-0.... | 0 |
public_repos | public_repos/langsmith-wrappers/pyproject.toml | [tool.poetry]
name = "langsmith-wrappers"
version = "0.0.1"
description = "Experimental wrappers that also log to LangSmith."
authors = ["LangChain <support@langchain.com>"]
license = "MIT"
readme = "README.md"
repository = "https://github.com/langchain-ai/langsmith-wrappers"
packages = [
{include = "langsmith"}
]... | 0 |
public_repos | public_repos/langsmith-wrappers/README.md | # LangSmith API Wrappers
Some functionality to wrap common apis (e.g., `openai`) with [LangSmith](https://smith.langchain.com/) instrumentation.
Example:
```python
from langsmith.wrappers.openai import openai
result = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{
"r... | 0 |
public_repos | public_repos/langsmith-wrappers/LICENSE | MIT License
Copyright (c) 2023 LangChain
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distrib... | 0 |
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