5 GitHub Projects Essential For Every Beginner Python Developer

Here is a researched and handpicked list of the top python github repos and libraries containing the essentials of learning python, from zero to hero!

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5. A python cheatsheet of python essentials such as: operators, data types, functions and more!

trekhleb / learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

Playground and Cheatsheet for Learning Python

This is a collection of Python scripts that are split by topics and contain code examples with explanations, different use cases and links to further readings.

Read this in Português.

It is a playground because you may change or add the code to see how it works and test it out using assertions. It also allows you to lint the code you've wrote and check if it fits to Python code style guide Altogether it might make your learning process to be more interactive and it might help you to keep code quality pretty high from very beginning.

It is a cheatsheet because you may get back to these code examples once you want to recap the syntax of standard Python statements and constructions. Also because the code is full of assertions you'll be able to see expected functions/statements output right away…

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4. A python module perfect for machine learning. If you're going to be looking into machine learning further down the line in your python development journey, keep this library at the back of your head!

scikit-learn / scikit-learn

scikit-learn: machine learning in Python

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the About us page for a list of core contributors.

It is currently maintained by a team of volunteers.

Website: https://scikit-learn.org

Installation

Dependencies

scikit-learn requires:

Python (>= 3.7)
NumPy (>= 1.14.6)
SciPy (>= 1.1.0)
joblib (>= 0.11)
threadpoolctl (>= 2.0.0)

Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4. scikit-learn 0.23 and later require Python 3.6 or newer scikit-learn 1.0 and later require Python 3.7 or newer.

Scikit-learn plotting capabilities (i.e., functions start with plot_ and classes end with "Display") require Matplotlib (>= 2.2.2) For running the examples Matplotlib >= 2.2.2 is required. A few examples require scikit-image >= 0.14.5, a…

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3. A curated list of awesome Python frameworks, libraries, software and resources.

vinta / awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

Awesome Python

A curated list of awesome Python frameworks, libraries, software and resources.

Inspired by awesome-php.

Awesome Python

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2. A 100 day python guide packed with great projects, tutorials, info and more!(will need to be translated to english using google translate since it's written in Chinese)

jackfrued / Python-100-Days

Python - 100天从新手到大师

作者：骆昊

说明：从项目上线到获得8w+星标以来，一直收到反馈说基础部分（前15天的内容）对新手来说是比较困难的，建议有配套视频进行讲解。最近把基础部分的内容重新创建了一个名为“Python-Core-50-Courses”的项目，用更为简单通俗的方式重写了这部分内容并附带了视频讲解，初学者可以关注下这个新项目。国内用户如果访问GitHub比较慢的话，也可以关注我的知乎号Python-Jack上的“从零开始学Python”专栏，专栏会持续更新，还有大家比较期待的“数据分析”的内容也即将上线，欢迎大家关注我在知乎的专栏、文章和回答。

创作不易，感谢大家的打赏支持，这些钱基本不会用于购买咖啡，而是通过腾讯公益、美团公益、水滴筹等平台捐赠给需要帮助的人（点击了解捐赠情况）。需要加入QQ交流群的可以扫描下面的二维码，交流群会为大家提供学习资源和问题解答，还会持续为大家带来免费的线上Python体验课和行业公开课，敬请关注。