rzmk/ladderz
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🔬 Implementations of math & tech concepts. Run concepts as code using the ladderz Rust library crate & in the terminal using the lz CLI tool. Additionally explore with Rust/Python Jupyter Notebooks.
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rzmk d78963eaac
docs: less non-prod info, add potential future concepts
2023-09-19 00:50:06 -04:00
.github ci: create dependabot.yml 2023-09-19 00:34:11 -04:00
ladderz fix: remove bin from Cargo.toml as no bin exists (yet) 2023-09-19 00:05:36 -04:00
notebooks feat: open in colab badge for notebook & rename to unit1 2023-09-19 00:38:40 -04:00
.gitignore feat: initial commit 2023-09-18 23:47:49 -04:00
LICENSE feat: initial commit 2023-09-18 23:47:49 -04:00
README.md docs: less non-prod info, add potential future concepts 2023-09-19 00:50:06 -04:00

README.md

ladderz

The ladderz project is a collection of implementations of mathematical/technical concepts in code. A primary aim is to learn to implement these concepts, regardless of the efficiency of the implementations.

If you're looking for a more efficient implementation of a concept (e.g., for use in your programs), other resources may be more useful.

You may find the following primary resources:

  • notebooks - Jupyter notebooks with exercises and solutions in Python
  • ladderz - A crate with implementations of concepts in a Rust library
    • docs - Documentation for the ladderz crate

Ideas

Not currently implemented, but ideas that may be useful:

  • Extend to:
    • Algebra
    • Calculus
    • Linear Algebra
    • Statistics
    • Discrete Math
    • Algorithms
  • py-ladderz - A package for running implementations of mathematical concepts in Python
  • ladderz CLI - A CLI tool for ladderz in Rust
  • ladderz App - An interactive multi-platform (web, desktop, mobile) app potentially including visualizations, practice problems, & a course-like structure (potentially in Flutter or Tauri with Next.js & Rust)