Topics / #advanced

Advanced projects on GitHub

Advanced-level tutorials and deep-dive learning resources for experienced developers.

As of , the most-starred Advanced projects on GitHub are Blog (31.1K stars), Learn-Vim (15.3K stars) and RustTraining (14.9K stars). GitHub.Locker tracks 7 Advanced repositories with 97.3K stars combined. The fastest-growing on October 17 was Learn-Vim, with +3 stars in a day.

7Projects
97.3KStars in total
+9Stars in a day

Hot right now

Most stars gained in a day · Oct 17

The all-time top

7 projects · by stars

  1. #1 · mqyqingfeng/Blog

    Blog

    A Chinese-language frontend blog by developer mqyqingfeng (冴羽), known for its in-depth JavaScript article series; it began in 2017 with four planned series and has since grown far beyond them, collecting 31k+ stars.

    31.1K
  2. #2 · iggredible/Learn-Vim

    Learn-Vim

    Learn Vim (the Smart Way) is a free guide book that teaches the useful parts of Vim and Vimscript without requiring you to read the entire help manual.

    15.3K
  3. #3 · microsoft/RustTraining

    RustTraining

    Seven free Rust training books from Microsoft that take you from another programming language up to async, advanced patterns, and engineering practices.

    14.9K
  1. 4

    python-mastery

    13.4Kdabeaz-course/python-mastery · Python

    A free advanced Python programming course by David Beazley, delivered as slides, exercise files, and worked solutions rather than a hosted learning platform.

  2. 5

    practical-python

    10.9Kdabeaz-course/practical-python · Python

    This is the material for an instructor-led Python training course that has been taught in-person to 400+ groups since 2007, covering foundational Python with about 130 hands-on coding exercises.

  3. 6

    CppTemplateTutorial

    10.6Kwuye9036/CppTemplateTutorial · C++

    A Chinese-language, in-depth tutorial on C++ templates that treats templates as a self-contained, Turing-complete language, aiming to help readers fully internalize template metaprogramming rather than just memorize syntax.

  4. 7

    cpu-performance-engineering

    1.2Kusamahz/cpu-performance-engineering · Python

    A curated reading path for CPU performance engineering: it walks you from what one instruction does on a modern core to serving ML inference on CPUs, ordered so each piece makes the next one legible.

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