Top GitHub Resources to Level Up Your Python game

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  1. python-guide

    Python best practices guidebook, written for humans. (by kennethreitz)

    ๐ŸŽ‡ Repository Link: The Hitchhiker's Guide to Python

  2. InfluxDB

    InfluxDB โ€“ Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. awesome-python

    An opinionated list of awesome Python frameworks, libraries, software and resources.

    ๐ŸŽ‡ Repository Link: Awesome Python

  4. python-patterns

    A collection of design patterns/idioms in Python

    ๐ŸŽ‡ Repository Link: Python Patterns

  5. python-cheatsheet

    Comprehensive Python Cheatsheet

    ๐ŸŽ‡ Repository Link: Python Cheatsheet

  6. 30-Days-Of-Python

    30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

    ๐ŸŽ‡ Repository Link: 30 Days of Python

  7. Python-100-Days

    Python - 100ๅคฉไปŽๆ–ฐๆ‰‹ๅˆฐๅคงๅธˆ

    ๐ŸŽ‡ Repository Link: Python-100-Days

  8. Python-project-Scripts

    This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo

    ๐ŸŽ‡ Repository Link: Python-project-scripts

  9. Sevalla

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  10. python-mini-projects

    Discontinued A collection of simple python mini projects to enhance your python skills

    ๐ŸŽ‡ Repository Link: python-mini-projects

  11. python-beginners

    For students who are learning Python3, with only intermediate JavaScript skills at the start

    ๐ŸŽ‡ Repository Link: python-beginners

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?