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https://github.com/fralfaro/ds-cheat-sheets

Data Science Cheat Sheets
https://github.com/fralfaro/ds-cheat-sheets

cheetsheet general-projects python r

Last synced: 30 days ago
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Data Science Cheat Sheets

Host: GitHub
URL: https://github.com/fralfaro/ds-cheat-sheets
Owner: fralfaro
License: mit
Created: 2023-08-27T01:40:43.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2024-06-02T15:22:01.000Z (7 months ago)
Last Synced: 2024-06-02T17:09:17.001Z (7 months ago)
Topics: cheetsheet, general-projects, python, r
Homepage: https://fralfaro.github.io/DS-Cheat-Sheets/
Size: 20.3 MB
Stars: 14
Watchers: 1
Forks: 3
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

# Cheat Sheets for Data Science Learning

![example workflow](https://github.com/fralfaro/DS-Cheat-Sheets/actions/workflows/documentation.yml/badge.svg)
[![documentation](https://img.shields.io/badge/📖-docs-brightgreen)](https://fralfaro.github.io/DS-Cheat-Sheets/)

This repository serves as a hub for various Cheat Sheets related to
the field of Data Science (with Python and R). What sets these Cheat Sheets apart is their
multidimensional approach to enhancing the learning experience.
Each Cheat Sheet is made available in three distinct formats: **PDF**, **Streamlit**, and **Google Colab**.

This threefold approach to guarantee that learners can interact with the content in
a manner that aligns with their preferences and learning style.

## Sections

### 📗 Python

| Topic | PDF | Streamlit | Google Colab |
|--------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| python | | | |
| numpy | | | |
| pandas | | | |
| matplotlib | | | |
| scikit-learn | | | |
| polars | | | |

### 📘 R

| Topic | PDF | Streamlit | Google Colab |
|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| dplyr | | | |
| ggplot2 | | | |
| forcats | | | |

> **Note**: The PDF format cheat sheets included here are authored by other contributors and have been used as sources of inspiration for the content presented.

## More Information

### What is a Cheat Sheet ?

A cheat sheet is a concise and informative reference guide that provides
quick and easy access to essential information or instructions about a specific topic.

It's designed to help individuals quickly understand key concepts, commands, formulas,
or procedures without having to search through lengthy documentation or resources.
Cheat sheets are often used as handy reference tools for tasks that require familiarity
with specific details or steps, such as programming languages, software applications,
or academic subjects. They serve as a valuable aid for both beginners and experienced
practitioners by condensing important information into a single, easily digestible format.

### What is Streamlit ?

[Streamlit](https://streamlit.io/) is an open-source Python library that simplifies and accelerates the
process of creating interactive web applications for data science and machine learning projects.
It allows developers, data scientists, and researchers to transform data scripts into shareable
web applications quickly and with minimal effort.

### What is Jupyter Notebook ?

[Jupyter Notebook](https://jupyter.org/) is an open-source web application that provides
an interactive and flexible environment for creating, sharing, and executing documents that contain live code, equations, visualizations, and explanatory text. It's widely used by researchers, data scientists, educators, and professionals
to develop and present code-based projects, analyses, and reports.

### What is Google Colab ?

[Google Colab](https://colab.research.google.com/), short for Google Colaboratory, is a cloud-based,
interactive development environment provided by Google
that enables users to write, execute, and share Python code in a
collaborative and convenient manner. It's particularly popular among researchers,
data scientists, and educators for its ease of use and the fact that it doesn't
require any setup or installation.

## 📖 References

* [Data Science Cheat Sheets - DataCamp](https://www.datacamp.com/cheat-sheet)
* [Cheatsheets and Handouts - Matplotlib](https://matplotlib.org/cheatsheets/)
* [Streamlit Cheat Sheet - Daniel Lewis](https://github.com/daniellewisDL/streamlit-cheat-sheet)
* [Polars cheat sheet - Franz Diebold](https://github.com/FranzDiebold/polars-cheat-sheet)
* [Posit Cheatsheets - Posit](https://rstudio.github.io/cheatsheets/)