# Python

## 语言基础

[Python 2.7.18 文档 » 标准库](https://docs.python.org/zh-cn/2/library/index.html)

[老男孩 银角大王 - 武沛齐(博客园)](https://www.cnblogs.com/wupeiqi/)

[视频] [老男孩 Bilibili](https://space.bilibili.com/283478842/video)

[老男孩 教学文档、视频等相关资源](https://pythonav.com/)

[Python 最佳实践指南！](https://pythonguidecn.readthedocs.io/zh/latest/index.html)

## 自然语言处理

[教程 | 理解和实现自然语言处理终极指南（附 Python 代码）](https://blog.csdn.net/starzhou/article/details/70605417)

[用 Python 做自然语言处理必知的八个工具](https://mp.weixin.qq.com/s/UUgXV20ojMnd77aMQgiFPw)

[推荐系统 RecommenderSystems](https://github.com/apachecn/RecommenderSystems): 推荐系统基本知识，相关算法以及实现

## 第三方库

[NumPy 中文](https://www.numpy.org.cn/) | [NumPys](http://www.numpy.org/)

[peewee](http://docs.peewee-orm.com/en/latest/index.html)

[PyMongo](https://docs.mongodb.com/drivers/pymongo/)

[authlib](https://docs.authlib.org/en/latest/)

[pyjwt](https://pyjwt.readthedocs.io/en/latest/)

[jieba](https://github.com/fxsjy/jieba)

- [简明 jieba 中文分词教程](https://www.jianshu.com/p/883c2171cdb5)
- [NLP 第 2 课：中文分词利器 jieba 和 HanLP](https://www.jianshu.com/p/009671e56027)

[pyhanlp](https://github.com/hankcs/pyhanlp)

- [hanlp 的基本使用--python(自然语言处理)](https://www.cnblogs.com/ybf-yyj/p/7801429.html)
- [自然语言处理之 hanlp，Python 调用与构建，分词、关键词提取、命名主体识别](https://blog.csdn.net/HHTNAN/article/details/81908451)

Celery

- [异步任务（Celery）详解 ](https://www.cnblogs.com/skyflask/p/9865378.html)

[scrapyd](https://scrapyd.readthedocs.io/en/stable/index.html)

[apscheduler](https://apscheduler.readthedocs.io/en/latest/index.html)

[six](https://six.readthedocs.io/)

[virtualenvwrapper](https://virtualenvwrapper.readthedocs.io/)

[supervisord](http://www.supervisord.org/index.html)

[flask](https://flask.palletsprojects.com/): 使用 Python 编写的轻量级 Web 应用框架
- [Flask 快速入门](http://docs.jinkan.org/docs/flask/quickstart.html)
- [欢迎进入Flask大型教程项目！](http://www.pythondoc.com/flask-mega-tutorial/)
- [吐血推荐珍藏的Flask资源](https://blog.csdn.net/zV3e189oS5c0tSknrBCL/article/details/82112854)
- [Flask补充系列–将应用部署在Heroku上](http://www.bjhee.com/flask-heroku.html)
- [flask-paginate](https://pythonhosted.org/Flask-paginate/)  is a simple paginate extension for flask which is reference to will_paginate, and use bootstrap as css framework.

[jinja](https://jinja.palletsprojects.com/): a fast, expressive, extensible templating engine

[JPype](https://jpype.readthedocs.io/en/latest/index.html):  a Python module to provide full access to Java from within Python.

[Django REST framework](https://www.django-rest-framework.org/):  a powerful and flexible toolkit for building Web APIs.

[SQLAlchemy](https://www.sqlalchemy.org/):the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
- [SQLAlchemy 1.4 Documentation](https://docs.sqlalchemy.org/en/14/)

[pip](https://pypi.python.org/pypi/pip/) is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.

[Gunicorn](https://gunicorn.org/) 'Green Unicorn' is a Python WSGI HTTP Server for UNIX.

[IPython](http://ipython.org/)Jupyter and the future of IPython

[Working with Excel Files in Python](http://www.python-excel.org/): This site contains pointers to the best information available about working with Excel files in the Python programming language.

[web.py](https://webpy.org/) is a web framework for Python that is as simple as it is powerful. 

[OpenCV](https://opencv.org/) (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. 

[PyYAML](http://pyyaml.org/) is a full-featured YAML framework for the Python programming language.

[xlwt](https://pypi.org/project/xlwt/): This is a library for developers to use to generate spreadsheet files compatible with Microsoft Excel versions 95 to 2003.

[Unofficial Windows Binaries for Python Extension Packages](https://www.lfd.uci.edu/~gohlke/pythonlibs/): This page provides 32 and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language. A few binaries are available for the PyPy distribution.

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