ds-cheatsheets: Your Ultimate Collection of Data Science Cheatsheets

Introduction

The ds-cheatsheets repository, created by FavioVazquez, is an exceptional resource for anyone involved in data science. With over 16,000 stars and 4,000 forks, it stands as a testament to its utility and popularity within the community. This repository provides a meticulously curated list of cheatsheets covering virtually every aspect of data science, making complex topics easily digestible and accessible for quick reference. Licensed under MIT, it's a freely available and highly valuable tool for both learners and seasoned professionals.

Installation

Since ds-cheatsheets is primarily a collection of PDF and image files, "installation" involves cloning the repository to your local machine to access all the cheatsheets offline.

To get started, simply use the following Git command:

git clone https://github.com/FavioVazquez/ds-cheatsheets.git

This command will download the entire collection to your chosen directory, allowing you to browse and utilize the cheatsheets at your convenience.

Examples

The repository is organized into several key categories, each containing multiple detailed cheatsheets. Here are some highlights:

• Python: Find cheatsheets for Python Basics, Pandas, NumPy, Jupyter, and Regular Expressions.
• R: Explore guides for Tidyverse, data.table, dplyr, ggplot2, and R Markdown.
• Math and Calculus: Essential refreshers on Algebra, Calculus, Probabilities, and Statistics.
• Big Data: Resources for PySpark (RDD and DataFrame), Dask, and Sparklyr.
• Machine Learning: Comprehensive guides on Scikit-Learn, various R ML packages (Caret, H2O), Supervised Learning, Unsupervised Learning, and model selection.
• Deep Learning: Cheatsheets covering Keras, Neural Networks, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs).
• SQL: Quick references for SQL syntax and common commands.
• Data Visualization: Guides for Matplotlib, Seaborn, Bokeh (Python), and Ggplot2, Leaflet (R).
• General Data Science & Others: Includes cheatsheets for Git, DVC, BASH, and general data science concepts.

Why Use ds-cheatsheets?

This repository is an indispensable tool for several reasons:

• Comprehensive Coverage: It spans a vast array of data science topics, ensuring you have a reference for almost any task.
• Quick Reference: Cheatsheets are designed for rapid information retrieval, saving you time when you need to recall syntax, concepts, or workflows.
• Learning Aid: Ideal for students and beginners to quickly grasp core concepts and commands without sifting through extensive documentation.
• Community Vetted: With thousands of stars and forks, it's a trusted resource within the data science community.
• Open Source: Freely available under the MIT License, promoting accessibility and collaboration.

Links

• GitHub Repository: https://github.com/FavioVazquez/ds-cheatsheets