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 4f36a3cc32
ci: remove copy to ./docs so gh pages deploy works
2023-09-19 00:23:40 -04:00
.github/workflows ci: remove copy to ./docs so gh pages deploy works 2023-09-19 00:23:40 -04:00
ladderz fix: remove bin from Cargo.toml as no bin exists (yet) 2023-09-19 00:05:36 -04:00
notebooks feat: initial commit 2023-09-18 23:47:49 -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 feat: initial commit 2023-09-18 23:47:49 -04:00

README.md

ladderz

This is a non-production repository and is for learning to implement concepts in code.

The ladderz project is based on content from courses, primarily mathematical/technical concepts.

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

The repository is not required to have the most efficient implementations, but rather learning to implement the concepts in code is a main endeavor. You may prefer other repositories for more efficient code & use cases.

Ideas

Not currently implemented, but ideas that may be useful:

  • 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)