VirtualTam's bookmarks

  1. Uses a project or repository's history to plot user contributions, displaying an elegant, colored graph of the file arborescence.

    After running it on quite different projects...

    • Python/Bash CI/Jenkins scripts
    • Qt apps: GoldenDict, Psi+
    • PHP website: Shaarli

    ...watching some vids on teh intartubez:

    It allows to arbitrary spot some interesting implementation aspects (sorted by descending impact):

    • language-dependent trees (oh hai Java packages ^^)
    • framework-dependent trees
    • project-management method (none, Agile, TDD)

    Having a graphical tool also quickly shows:

    • the overall structure of the project (a bit cooler than a simple $ tree, way quicker than loading the project on an IDE)
    • the repartition of files (by extensions)
    • who are the most active contributors
    • what are the most modified files over time
    • who does what: additions, deletions, refactoring

    Some more CI-related matters:

    • are there any tests?
    • what is the source code / test code ratio? (we could expect a project/lib with N modules to have at least N test modules)
    • who initiates / implements / optimizes test code?
  2. Plenty of fun tasks, riddles and puzzles to solve altogether with learning Python!

    Get ready for:

    • basic Python exercises (data structures, language features, common libraries)
    • a handful exercises on string and data processing
    • algorithmics! pathfinding, map exploration, optimization...
  3. TL;DR: you won't.

    This website is rather a good memo regarding each language's foundations:

    • what's its general purpose?
    • how to write core instructions, such as functions, loops, conditional structures?

    I find this kind of reminder quite useful when it comes to documentation languages (e.g. TeX, Markdown)