matplotlib/cheatsheets
Cheatsheets
This project provides a collection of PDF reference guides and visual summaries for the Matplotlib plotting library. These data visualization guides combine code examples and visual aids to produce condensed technical documentation and cheat sheets.
The documentation is produced through a LaTeX-based compilation pipeline. This system transforms structured source code into high-quality formatted PDFs using a multi-column layout engine and script-driven asset generation for figures.
The build process includes an automated asset pipeline that handles font-dependency resolution and validates generated files for page counts and link integrity.
Features
- Cheat Sheet Generators - Generates multi-column reference guides and figures by combining compilation tools and LaTeX source files.
- Visualization Guides - Provides concise visual aids and code examples for creating charts and figures in Python.
- Reference Cheatsheets - Provides a collection of PDF reference guides and visual summaries for using the Matplotlib plotting library.
- Document Compilers - Transforms structured source code into high-quality technical PDFs using installation scripts and specialized compilation tools.
- Document Build Pipelines - Sequentially processes raw LaTeX files and generated images through a build chain to produce final distribution assets.
- Asset Compilation Pipelines - Compiles source files and fonts into formatted documents while validating page counts and internal link integrity.
- Asset Compilers - Provides a system to compile LaTeX source files and execute installation scripts to produce final documentation files.
- Data Visualization References - Creates quick-reference PDF guides that combine code examples and visual aids for faster Matplotlib library usage.
- Documentation Generation Scripts - Executes external scripts to programmatically create figures and supporting visual elements for the documents.
- Technical Cheat Sheets - Produces multi-column PDF handouts from LaTeX source files to provide a condensed overview of complex software features.
- LaTeX Reference Guides - Uses a TeX engine to transform source code and styles into formatted PDF technical reference sheets.
- PDF Layout Validators - Runs post-compilation scripts to verify page counts and internal link integrity of the generated PDFs.
- PDF Template Validators - Verifies page counts and internal link integrity by running automated checks on generated PDF files.
- Column Engines - Organizes dense technical information into a grid-based column system for high-density information retrieval.
- Technical Cheatsheets - Official reference for Matplotlib plotting.
