{"id":21401900,"url":"https://github.com/fralfaro/ds-cheat-sheets","last_synced_at":"2026-05-18T01:39:16.049Z","repository":{"id":191103820,"uuid":"683566005","full_name":"fralfaro/DS-Cheat-Sheets","owner":"fralfaro","description":"Data Science Cheat 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Cheat Sheets for Data Science Learning\n\n![example workflow](https://github.com/fralfaro/DS-Cheat-Sheets/actions/workflows/documentation.yml/badge.svg)\n\u003ca href=\"https://ds-cheat-sheets.streamlit.app/\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e \n\n\n\u003cimg src=\"docs/images/cs.png\" width = 500 \u003e\n\n\nWelcome to the **Ultimate Data Science Cheat Sheet Repository**, thoughtfully designed for Python and R enthusiasts.  \n\nThe official link to the Streamlit application is [https://ds-cheat-sheets.streamlit.app/](https://ds-cheat-sheets.streamlit.app/), where you can explore the cheat sheets in three different formats:\n\n- 🚀 **Streamlit**: Fully interactive and user-friendly.\n- 📄 **PDF**: Easily downloadable and perfect for quick reference.\n- 💻 **Google Colab**: Pre-configured and ready for hands-on learning.\n\n\n## Sections\n\nAdditionally, we’ve provided a neatly organized table below, listing all the available files for quick access to their different formats.\n\n### 📗 Python\n\n| Topic        | PDF                                                                                                                                                                                                                                  | Streamlit                                                                                                                                                        | Google Colab                                                                                                                                                                                                                                   |\n|--------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| python       | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/python_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e       | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/python\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e     | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/python/python.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e         |\n| numpy        | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/numpy_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e        | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/numpy\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e      | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/numpy/numpy.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e           |\n| pandas       | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/pandas_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e       | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/pandas\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e     | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/pandas/pandas.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e         |\n| matplotlib   | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/matplotlib_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e   | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/matplotlib\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/matplotlib/matplotlib.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e |\n| scikit-learn | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/scikit-learn_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/scikit-learn\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e    | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/scikit-learn/sklearn.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e  |\n| polars       | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/polars_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e       | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/polars\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e     | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/polars/polars.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e         |\n\n### 📘 R\n\n| Topic   | PDF                                                                                                                                                                                                                             | Streamlit                                                                                                                                                     | Google Colab                                                                                                                                                                                                                             |\n|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| dplyr   | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/dplyr_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e   | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/dplyr\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e   | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/dplyr/dplyr.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e     |\n| ggplot2 | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/ggplot2_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/ggplot2\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/ggplot2/ggplot2.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e |\n| forcats | \u003ca href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/forcats_cs.pdf\" target=\"_parent\"\u003e\u003cimg src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square\u0026logo=adobe\u0026logoColor=white\"/\u003e\u003c/a\u003e | \u003ca href=\"https://ds-cheat-sheets.streamlit.app/forcats\" target=\"_parent\"\u003e\u003cimg src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/\u003e\u003c/a\u003e | \u003ca href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/forcats/forcats.ipynb\" target=\"_parent\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e |\n\n\u003e **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.\n\n## More Information\n\n### What is a Cheat Sheet ?\n\nA cheat sheet is a concise and informative reference guide that provides\nquick and easy access to essential information or instructions about a specific topic.\n\nIt's designed to help individuals quickly understand key concepts, commands, formulas,\nor procedures without having to search through lengthy documentation or resources. \nCheat sheets are often used as handy reference tools for tasks that require familiarity \nwith specific details or steps, such as programming languages, software applications, \nor academic subjects. They serve as a valuable aid for both beginners and experienced\npractitioners by condensing important information into a single, easily digestible format.\n\n### What is Streamlit ?\n\n\u003cimg src=\"docs/images/streamlit.svg\" width = 150 \u003e\n\n\n[Streamlit](https://streamlit.io/) is an open-source Python library that simplifies and accelerates the\nprocess of creating interactive web applications for data science and machine learning projects.\nIt allows developers, data scientists, and researchers to transform data scripts into shareable \nweb applications quickly and with minimal effort.\n\n\u003cimg src=\"docs/images/demo_01.gif\"  \u003e\n\n\n### What is Jupyter Notebook ?\n\n\u003cimg src=\"docs/images/jb.png\" width = 150 \u003e\n\n\n[Jupyter Notebook](https://jupyter.org/) is an open-source web application that provides \nan 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 \nto develop and present code-based projects, analyses, and reports.\n\n\n\u003cimg src=\"docs/images/demo_02.gif\"  \u003e\n\n### What is Google Colab ?\n\n\u003cimg src=\"docs/images/colab.png\" width = 150 \u003e\n\n\n[Google Colab](https://colab.research.google.com/), short for Google Colaboratory, is a cloud-based,\ninteractive development environment provided by Google\nthat enables users to write, execute, and share Python code in a \ncollaborative and convenient manner. It's particularly popular among researchers, \ndata scientists, and educators for its ease of use and the fact that it doesn't \nrequire any setup or installation.\n\n\u003cimg src=\"docs/images/demo_03.gif\"  \u003e\n\n## 📖 References\n\n* [Data Science Cheat Sheets - DataCamp](https://www.datacamp.com/cheat-sheet)\n* [Cheatsheets and Handouts - Matplotlib](https://matplotlib.org/cheatsheets/)\n* [Streamlit Cheat Sheet - Daniel Lewis](https://github.com/daniellewisDL/streamlit-cheat-sheet)\n* [Polars cheat sheet - Franz Diebold](https://github.com/FranzDiebold/polars-cheat-sheet)\n* [Posit Cheatsheets - Posit](https://rstudio.github.io/cheatsheets/)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffralfaro%2Fds-cheat-sheets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffralfaro%2Fds-cheat-sheets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffralfaro%2Fds-cheat-sheets/lists"}