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https://learnbyexample.github.io/py_resources/

Collection of Python learning resources
https://learnbyexample.github.io/py_resources/

curated-list data-science learning machine-learning python resources scientific-computing

Last synced: about 1 month ago
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Collection of Python learning resources

Host: GitHub
URL: https://learnbyexample.github.io/py_resources/
Owner: learnbyexample
License: cc0-1.0
Created: 2020-08-25T05:53:38.000Z (about 4 years ago)
Default Branch: master
Last Pushed: 2024-05-15T08:33:46.000Z (4 months ago)
Last Synced: 2024-05-16T16:31:35.561Z (4 months ago)
Topics: curated-list, data-science, learning, machine-learning, python, resources, scientific-computing
Homepage: https://learnbyexample.github.io/py_resources/
Size: 1.85 MB
Stars: 164
Watchers: 6
Forks: 19
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

awesome-useful-websites - Learn by Example - Python Resources - Collection of Python resources and tutorials for various topics. (Programming Languages / Python)

README

        # Python resources for everybody

https://learnbyexample.github.io/py_resources/ is a collection of Python **learning** resources. Many of the resources, especially the beginner ones, are free.

:information_source: For a curated list of frameworks, libraries, software, etc, see [awesome-python](https://github.com/vinta/awesome-python)

:warning: I don't have personal experience with majority of the resources mentioned, but have seen them recommended elsewhere. [Understanding Python re(gex)?](https://github.com/learnbyexample/py_regular_expressions), [100 Page Python Intro](https://github.com/learnbyexample/100_page_python_intro) and [Practice Python Projects](https://github.com/learnbyexample/practice_python_projects) are my own books.




## Table of Contents

* [Beginner resources](https://learnbyexample.github.io/py_resources/beginners.html)

    * [New to programming](https://learnbyexample.github.io/py_resources/beginners.html#new-to-programming)

    * [New to Python](https://learnbyexample.github.io/py_resources/beginners.html#new-to-python)

    * [Courses with certificates](https://learnbyexample.github.io/py_resources/beginners.html#courses-with-certificates)

    * [Exercises](https://learnbyexample.github.io/py_resources/beginners.html#exercises)

    * [Projects](https://learnbyexample.github.io/py_resources/beginners.html#projects)

    * [Debugging](https://learnbyexample.github.io/py_resources/beginners.html#debugging)

    * [Tools, IDE and Text Editors](https://learnbyexample.github.io/py_resources/beginners.html#tools-ide-and-text-editors)

    * [Cheatsheets](https://learnbyexample.github.io/py_resources/beginners.html#cheatsheets)

    * [Documentation and getting help](https://learnbyexample.github.io/py_resources/beginners.html#documentation-and-getting-help)

* [Specific features](https://learnbyexample.github.io/py_resources/specific.html)

    * [Abstract Syntax Trees](https://learnbyexample.github.io/py_resources/specific.html#abstract-syntax-trees)

    * [Async and concurrency](https://learnbyexample.github.io/py_resources/specific.html#async-and-concurrency)

    * [Command line applications](https://learnbyexample.github.io/py_resources/specific.html#command-line-applications)

    * [Context managers](https://learnbyexample.github.io/py_resources/specific.html#context-managers)

    * [Decorators and closures](https://learnbyexample.github.io/py_resources/specific.html#decorators-and-closures)

    * [Exception handling](https://learnbyexample.github.io/py_resources/specific.html#exception-handling)

    * [Iterables, Generators, Yield, Itertools](https://learnbyexample.github.io/py_resources/specific.html#iterables-generators-yield-itertools)

    * [Lambda](https://learnbyexample.github.io/py_resources/specific.html#lambda)

    * [Lists and comprehensions](https://learnbyexample.github.io/py_resources/specific.html#lists-and-comprehensions)

    * [Logging](https://learnbyexample.github.io/py_resources/specific.html#logging)

    * [Memoization](https://learnbyexample.github.io/py_resources/specific.html#memoization)

    * [OS interaction](https://learnbyexample.github.io/py_resources/specific.html#os-interaction)

    * [Pattern matching](https://learnbyexample.github.io/py_resources/specific.html#pattern-matching)

    * [Profiling code and speeding up Python](https://learnbyexample.github.io/py_resources/specific.html#profiling-code-and-speeding-up-python)

    * [Python Packaging](https://learnbyexample.github.io/py_resources/specific.html#python-packaging)

    * [Regular Expressions](https://learnbyexample.github.io/py_resources/specific.html#regular-expressions)

    * [Socket Programming](https://learnbyexample.github.io/py_resources/specific.html#socket-programming)

    * [Standard library](https://learnbyexample.github.io/py_resources/specific.html#standard-library)

    * [Type annotations](https://learnbyexample.github.io/py_resources/specific.html#type-annotations)

    * [Virtual Environments](https://learnbyexample.github.io/py_resources/specific.html#virtual-environments)

* [Intermediate to Advanced resources](https://learnbyexample.github.io/py_resources/intermediate.html)

    * [Intermediate](https://learnbyexample.github.io/py_resources/intermediate.html#intermediate)

    * [Python talks](https://learnbyexample.github.io/py_resources/intermediate.html#python-talks)

    * [Testing](https://learnbyexample.github.io/py_resources/intermediate.html#testing)

    * [Algorithms and data structures](https://learnbyexample.github.io/py_resources/intermediate.html#algorithms-and-data-structures)

    * [Design patterns](https://learnbyexample.github.io/py_resources/intermediate.html#design-patterns)

    * [Advanced](https://learnbyexample.github.io/py_resources/intermediate.html#advanced)

* [Domain specific resources](https://learnbyexample.github.io/py_resources/domain.html)

    * [Bioinformatics](https://learnbyexample.github.io/py_resources/domain.html#bioinformatics)

    * [Data Science and Data Analysis](https://learnbyexample.github.io/py_resources/domain.html#data-science-and-data-analysis)

    * [GUI and Games](https://learnbyexample.github.io/py_resources/domain.html#gui-and-games)

    * [Machine Learning](https://learnbyexample.github.io/py_resources/domain.html#machine-learning)

    * [Robotics and Computer Vision](https://learnbyexample.github.io/py_resources/domain.html#robotics-and-computer-vision)

    * [Scientific computing](https://learnbyexample.github.io/py_resources/domain.html#scientific-computing)

    * [Web development](https://learnbyexample.github.io/py_resources/domain.html#web-development)

    * [Miscellaneous domains](https://learnbyexample.github.io/py_resources/domain.html#miscellaneous-domains)

* [Miscellaneous](https://learnbyexample.github.io/py_resources/miscellaneous.html)

    * [Blogs](https://learnbyexample.github.io/py_resources/miscellaneous.html#blogs)

    * [Modules and applications](https://learnbyexample.github.io/py_resources/miscellaneous.html#modules-and-applications)

    * [Newsletters](https://learnbyexample.github.io/py_resources/miscellaneous.html#newsletters)

    * [Podcasts](https://learnbyexample.github.io/py_resources/miscellaneous.html#podcasts)

    * [Python learning lists](https://learnbyexample.github.io/py_resources/miscellaneous.html#python-learning-lists)




## Acknowledgements

* [mdBook](https://github.com/rust-lang/mdBook) — for converting markdown to web version

* [mdBook-pagetoc](https://github.com/JorelAli/mdBook-pagetoc) — for adding table of contents

* [minify-html](https://github.com/wilsonzlin/minify-html) — for minifying html files

* [Warning](https://commons.wikimedia.org/wiki/File:Warning_icon.svg) and [Info](https://commons.wikimedia.org/wiki/File:Info_icon_002.svg) icons by [Amada44](https://commons.wikimedia.org/wiki/User:Amada44) under public domain

* [Inkscape](https://inkscape.org/) — favicon

* [canva](https://www.canva.com/) — poster

* [pngquant](https://pngquant.org/), [svgcleaner](https://github.com/RazrFalcon/svgcleaner) — for optimizing images




## License

This work is licensed under a [Creative Commons Zero v1.0 Universal License](https://github.com/learnbyexample/py_resources/blob/master/LICENSE)