Projects sharing features with Data Science Resources

List of Data Science Cheatsheets to rule the world.

Comprehensive Linux Cheatsheet

This project is a comprehensive technical reference and programming cheatsheet for the Python language. It serves as a curated catalog of language features, syntax patterns, and standard library functions designed to help developers identify and apply correct coding patterns. The documentation covers a broad range of functional areas, including language fundamentals such as object-oriented structuring, functional logic, and list comprehensions. It also provides guidance on utilizing the standard library for data analysis, file management, networking, and concurrent execution. The reference e

This project serves as a developer documentation tool and reference utility designed for identifying and copying text-based emoji shortcodes. It provides a comprehensive directory of standard emoji shortcodes organized by category, facilitating quick lookup and integration into documentation, code comments, and messaging platforms. Beyond its reference capabilities, the repository functions as a build utility for TypeScript development. It includes a pipeline that transforms modern TypeScript source code into compatible JavaScript, enforcing strict type safety and module resolution during the

🐍 Quick reference guide to common patterns & functions in PySpark.

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

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 gen

List of Data Science Cheatsheets :

This repository aims at summing up in the same place all the important notions that are covered in Stanford's CME 106 Probability and Statistics for Engineers course. It includes a 2-page cheatsheet dedicated to Probability as well as another 2-page cheasheet to Statistics, so that you can…

This project is a machine learning reference guide and condensed cheat sheet providing a curated collection of classical equations, diagrams, and core concepts. It serves as a technical interview study guide focused on the mathematical foundations and theoretical principles required for machine learning engineering roles. The resource facilitates the review of algorithm theory and data science interview preparation by offering a centralized location to recall fundamental machine learning patterns and mathematical proofs. It functions as a study guide for academic exams and a quick-reference t

This project is a community-driven knowledge base that serves as a comprehensive guide for mastering version control operations and platform-specific workflows. It functions as a developer productivity resource, consolidating essential information on command-line operations, repository management, and advanced interface techniques into a single, version-controlled document. The guide distinguishes itself by providing actionable insights into platform-specific automation and navigation. It covers the use of keyboard shortcuts to accelerate daily tasks, the application of advanced search syntax

This project is an educational resource designed for learning the Python programming language. It serves as a tutorial repository and programming guide, providing a collection of annotated scripts, code examples, and cheatsheets to help users master syntax and core fundamentals. The resource focuses on moving from basic language syntax to advanced implementation, with a particular emphasis on object-oriented programming, the use of the Python standard library, and scripting automation for business workflows. The content covers a broad range of programming capabilities, including control flow

This project serves as a comprehensive reference and toolkit for Linux command-line operations. It provides a structured collection of Bash commands and terminal utilities designed to assist with system administration, file management, and process control within POSIX-compliant environments. The resource functions as a guide for mastering terminal productivity and shell scripting. It covers essential workflows including efficient filesystem navigation, command history management, and the application of shell operators for task automation. Users can utilize these materials to refine their inte

This project is a programming language cheatsheet and Python language reference. It provides a concise set of documentation and examples designed for recalling language-specific functions and operations. The resource serves as a guide for the Python standard library, offering references for common built-in modules used for tasks such as date, time, and data parsing. It also provides syntax references and practical code examples to assist with implementing specific logic and programming patterns. The content is organized to support Python programming onboarding and standard library usage.

This project is an administrative reference for Docker, providing guides and command references for system maintenance, image building, network configuration, and security hardening. It serves as a comprehensive manual for managing the container lifecycle and performing general system administration. The reference covers the construction and optimization of images through build files, layering strategies, and registry integration. It also provides instructions for configuring isolated virtual networks, mapping ports, and implementing security hardening using Linux capabilities and read-only f