Cheatsheets

Ce projet fournit une collection de guides de référence PDF et de résumés visuels pour la bibliothèque de traçage Matplotlib. Ces guides de visualisation de données combinent des exemples de code et des aides visuelles pour produire une documentation technique condensée et des fiches mémo (cheat sheets).

La documentation est produite via un pipeline de compilation basé sur LaTeX. Ce système transforme le code source structuré en PDF formatés de haute qualité en utilisant un moteur de mise en page multi-colonnes et une génération d'assets pilotée par script pour les figures.

Le processus de build inclut un pipeline d'assets automatisé qui gère la résolution des dépendances de police et valide les fichiers générés pour le nombre de pages et l'intégrité des liens.

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.

Historique des stars

matplotlibcheatsheets

Name: matplotlib/cheatsheets
Author: matplotlib

View on GitHub

7,707 stars917 forksPythonBSD-2-Clause2 vuesmatplotlib.org/cheatsheets

Cheatsheets

Le processus de build inclut un pipeline d'assets automatisé qui gère la résolution des dépendances de police et valide les fichiers générés pour le nombre de pages et l'intégrité des liens.

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.

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Questions fréquentes

Que fait matplotlib/cheatsheets ?

Quelles sont les fonctionnalités principales de matplotlib/cheatsheets ?

Les fonctionnalités principales de matplotlib/cheatsheets sont : Cheat Sheet Generators, Visualization Guides, Reference Cheatsheets, Document Compilers, Document Build Pipelines, Asset Compilation Pipelines, Asset Compilers, Data Visualization References.

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