python-tutorial.md

导语：Python 是一种易于学习又功能强大的编程语言。它提供了高效的高级数据结构，还能简单有效地面向对象编程。它优雅的语法和动态类型，以及解释型语言的本质，使它成为多数平台上写脚本，以及快速开发应用的理想语言。

Python 在诞生之初，因为其功能不好，运转功率低，不支持多核，根本没有并发性可言，在计算功能不那么好的年代，一直没有火爆起来，甚至很多人根本不知道有这门语言。随着时代的发展，物理硬件功能不断提高，而软件的复杂性也不断增大，开发效率越来越被企业重视，因此，Python 逐渐得到越来越多开发者的亲睐；在 12~14 年，云计算升温，大量创业公司和互联网巨头挤进云计算领域，Python 就此异军突起；随后几年，备受关注的人工智能、机器学习、数据科学、机器人，其首选开发语言也是 Python。至此，Python 炙手可热，成为最受欢迎编程语言之一。

Python 不仅入门容易、功能强大；而且适用领域极为广泛；对于前端工程师而言，使用它能够很容易构建 Web 应用，依托于它强大的功能库，也能快速打造些趁手工具；随着大前端的日益演进，在完成模块化、工程化之后，走向自动化、智能化也是必然趋势；鉴于这一点，则更有必要对 Python、算法、数学等加以学习（于 2019 年 12 月 22 日）。

基础篇

• Python 官方网站
• Python 官方中文教程
• Python 基础教程 | 菜鸟
• Asabeneh/30-Days-Of-Python: _{30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.}
• The Hitchhiker’s Guide to Python!
• Python - 100 天从新手到大师
• 中文 Python 笔记
• Python 教程 | Github
• 良心的 Python 教程 | Github
• Comprehensive Python Cheatsheet

工具篇

• Python 环境管理工具
  • pypa/pipenv: _{Python Development Workflow for Humans.}
  • pyenv/pyenv: _{Simple Python version management}
  • pypa/pip: _{The Python package installer https://pip.pypa.io}
  • utahta/pythonbrew: _{Python Environment manager}
• 生产力工具
  • psf/black: _{The uncompromising Python code formatter.}
  • google/yapf: _{A formatter for Python files}
  • cookiecutter/cookiecutter: _{A command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, jQuery plugin projects.}
  • nvbn/thefuck: _{Magnificent app which corrects your previous console command.}
  • sloria/doitlive: _{doitlive is a tool for live presentations in the terminal. It reads a file of shell commands and replays the commands in a fake terminal session as you type random characters.}
  • facebook/PathPicker: _{PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything.After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in.}
  • mooz/percol: _{adds flavor of interactive filtering to the traditional pipe concept of UNIX shell}
• 有用工具库
  • timothycrosley/isort: _{A Python utility / library to sort imports.}
  • pyecharts/pyecharts: _{🎨 Python Echarts Plotting Library}
  • lincolnloop/python-qrcode: _{Python QR Code image generator}
  • python-prompt-toolkit: _{Library for building powerful interactive command line applications in Python}
  • xlwings/xlwings: _{xlwings is a BSD-licensed Python library that makes it easy to call Python from Excel and vice versa. It works with Microsoft Excel on Windows and Mac.}
  • psf/requests: _{A simple, yet elegant HTTP library.}
  • gnebbia/kb: _{A minimalist command line knowledge base manager}
  • willmcgugan/rich: _{Rich is a Python library for rich text and beautiful formatting in the terminal.}
  • amueller/word_cloud: _{A little word cloud generator in Python}

示例篇

• 30-seconds-of-python: _{Short Python code snippets for all your development needs}
• geekcomputers/Python: _{My Python Examples}
• nicejade/play-with-python: _{学习 Python & 实战练习，以便能更好的玩 Python 相关技能、工具。}
• eat_tensorflow2_in_30_days: _{Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋}
• examples-of-web-crawlers: _{一些非常有趣的 python 爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ 等网站。(Some interesting examples of python crawlers that are friendly to beginners.}
• interesting-python: _{有趣的 Python 爬虫和 Python 数据分析小项目}
• realpython/python-guide: _{Python best practices guidebook, written for humans. 中文版：Python 最佳实践指南}
• trekhleb/learn-python: _{📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.}
• jackzhenguo/python-small-examples: _{Python 有趣的小例子一网打尽。Python 基础、Python 坑点、Python 字符串和正则、Python 绘图、Python 日期和文件、Web 开发、数据科学、机器学习、深度学习、TensorFlow、Pytorch，一切都是简单易懂的小例子。}
• zhaipro/easy12306: _{使用机器学习算法完成对 12306 验证码的自动识别}
• tangyudi/Ai-learn: _{人工智能学习路线图，整理近 200 个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理等热门领域}

资源篇

• vinta/awesome-python: _{A curated list of awesome Python frameworks, libraries, software and resources https://awesome-python.com}
• jobbole/awesome-python-cn: _{Python 资源大全中文版，包括：Web 框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。}
• 100-Days-Of-ML-Code: _{100-Days-Of-ML-Code 中文版}
• burness/tensorflow-101: _{learn code with tensorflow.}
• gto76/python-cheatsheet: _{Comprehensive Python Cheatsheet}
• mahmoud/awesome-python-applications: _{💿 Free software that works great, and also happens to be open-source Python.}
• dloss/python-pentest-tools: _{Python tools for penetration testers}

进阶篇

• interactive-coding-challenges: _{120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.}
• TheAlgorithms/Python: _{All algorithms implemented in Python (for education)}
• faif/python-patterns: _{A collection of design patterns/idioms in Python}
• bregman-arie/devops-exercises: _{Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization}
• TheAlgorithms/Python: _{All Algorithms implemented in Python https://travis-ci.com/TheAlgorithms/Python}
• leisurelicht/wtfpython-cn: _{一些有趣且鲜为人知的 Python 特性.}

深度学习

• tensorflow/tensorflow: _{An Open Source Machine Learning Framework for Everyone https://tensorflow.org}
• tensorflow/models: _{Models and examples built with TensorFlow}
• tensorflow/graphics: _{TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow}
• google/trax: _{Trax — your path to advanced deep learning}
• lutzroeder/netron: _{Visualizer for neural network, deep learning, and machine learning models https://www.lutzroeder.com/netron}
• fastai/fastai: _{The fastai deep learning library, plus lessons and tutorials http://docs.fast.ai}
• keras-team/keras: _{Deep Learning for humans http://keras.io}
• BVLC/caffe: _{Caffe: a fast open framework for deep learning.}
• pytorch/pytorch: _{Tensors and Dynamic neural networks in Python with strong GPU acceleration https://pytorch.org}
• apache/incubator-mxnet: _{Apache MXNet (incubating) for Deep Learning}
• tensorlayer/tensorlayer: _{Deep Learning and Reinforcement Learning Library for Scientists 🔥}
• google/trax: _{Trax — your path to advanced deep learning}
• openai/spinningup: _{An educational resource to help anyone learn deep reinforcement learning.}
• microsoft/DeepSpeed: _{DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.}

机器学习

• fchollet/deep-learning-with-python-notebooks: _{Jupyter notebooks for the code samples of the book "Deep Learning with Python"}
• rasbt/python-machine-learning-book: _{Python Machine Learning book code repository}
• scikit-learn/scikit-learn: _{scikit-learn: machine learning in Python https://scikit-learn.org}
• dmlc/xgboost: _{Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow https://xgboost.ai}
• tensorlayer/tensorlayer: _{Deep Learning and Reinforcement Learning Library for Scientists 🔥}
• mlflow/mlflow: _{Open source platform for the machine learning lifecycle https://mlflow.org}
• OpenMined/PySyft: _{A library for encrypted, privacy preserving machine learning}
• Unity-Technologies/ml-agents: _{Unity Machine Learning Agents Toolkit https://unity3d.ai}

机器人

• python-telegram-bot: _{We have made you a wrapper you can't refuse https://python-telegram-bot.org}
• gunthercox/ChatterBot: _{ChatterBot is a machine learning, conversational dialog engine for creating chat bots.}
• sfyc23/EverydayWechat: _{微信助手：1.每日定时给好友（女友）发送定制消息。2.机器人自动回复好友。3.群助手功能（例如：查询垃圾分类、天气、日历、电影实时票房、快递物流、PM2.5 等）}

自动化

• microsoft/playwright-python: _{Python version of the Playwright testing and automation library. https://playwright.dev/}

数据科学

• pandas-dev/pandas: _{powerful Python data analysis toolkit.}
• biolab/orange3: _{🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si}
• jakevdp/PythonDataScienceHandbook: _{Python Data Science Handbook: full text in Jupyter Notebooks}

周边篇

• docker-library/python: _{Docker Official Image packaging for Python}
• google/python-fire: _{Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.}
• Miserlou/Zappa: _{Serverless Python https://blog.zappa.io}
• google-api-python-client: _{🐍 The official Python client library for Google's discovery based APIs.}
• donnemartin/system-design-primer: _{Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.}

相关工具库

• mherrmann/helium: _{Selenium-python, 50% easier. Helium is the best Python library for web automation.}
• locustio/locust: _{Scalable user load testing tool written in Python}
• joeyespo/grip: _{Preview GitHub Markdown files like Readme locally before committing them.}
• lancopku/pkuseg-python: _{pkuseg 多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation}
• home-assistant/home-assistant: _{🏡 Open source home automation that puts local control and privacy first}
• jakubroztocil/httpie: _{As easy as HTTPie /aitch-tee-tee-pie/ 🥧 Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc.}
• django/django: _{The Web framework for perfectionists with deadlines. https://djangoproject.com}
• 3b1b/manim: _{Animation engine for explanatory math videos}
• gwen001/pentest-tools: _{Custom pentesting tools}