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super update 2023-08-29 1.2
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@fralfaro
fralfaro committed Aug 29, 2023
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28 changes: 28 additions & 0 deletions .github/workflows/documentation.yml
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name: GitHub Actions
on: [push]
jobs:
Pages:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.8 ]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: pip install poetry
- name: Activate venv
run: poetry install
- name: Build the book
run: poetry run mkdocs build --site-dir public
- name: GitHub Pages action
uses: peaceiris/actions-gh-pages@v3
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ./public



22 changes: 10 additions & 12 deletions README.md
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This repository serves as a hub for various Cheat Sheets related to
the field of Data Science (with Python). What sets these Cheat Sheets apart is their
multi-dimensional approach to enhancing the learning experience.
multidimensional approach to enhancing the learning experience.
Each Cheat Sheet is made available in three distinct formats: **PDF**, **Streamlit**, and **Google Colab**.

This triad of accessibility ensures that learners can engage with the content in
a way that suits their preferences and learning style.

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

**Content**


| Topic | PDF | Streamlit | Google Colab |
|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| python | <a href="https://www.youtube.com/watch?v=N97sFMQRDlU&t=2925s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_01.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| numpy | <a href="https://www.youtube.com/watch?v=CL2TAKQMaLs&t=7s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| pandas | <a href="https://www.youtube.com/watch?v=CL2TAKQMaLs&t=7s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| matplotlib | <a href="https://www.youtube.com/watch?v=CL2TAKQMaLs&t=7s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| scikit-learn | <a href="https://www.youtube.com/watch?v=CL2TAKQMaLs&t=7s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| Topic | PDF | Streamlit | Google Colab |
|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| python | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/python_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-python.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/python/python.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| numpy | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/numpy_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-numpy.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/numpy/numpy.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| pandas | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/pandas_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-pandas.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/pandas/pandas.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| matplotlib | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/matplotlib_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-matplotlib.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/matplotlib/matplotlib.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
| scikit-learn | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/scikit-learn_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-sklearn.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/scikit-learn/sklearn.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |

> **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.
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