# Books

## Latex Manual

📃 Latex

📕 12 Chapters

📅 Oct 10, 2023

This project will provide you with a concise introduction to LaTeX, a document composition system widely used in the academic and technical community.

LaTeX is especially known for its ability to produce high-quality documents that include mathematical content, tables, figures, and bibliographical references.

Note: This new documentation was developed by fralfaro. You can find the repository at the following link: fralfaro/latex-manual.

## Kaggle Courses

🐍 Python

📕 12 Chapters

📅 Sep 10, 2022

The goal of Kaggle's courses is to give you the skills you need to do independent data science projects. We pare down complex topics to their key practical components, so you gain usable skills in a few hours (instead of weeks or months).

The courses are provided at **no cost to you**, and you can now **earn certificates**.

Note: This new documentation was developed by fralfaro. You can find the repository at the following link: fralfaro/kaggle-courses.

## Python Data Science Handbook

🐍 Python

📕 6 Chapters

📅 Aug 20, 2022

This is the Jupyter notebook version of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub.

The text is released under the **CC-BY-NC-ND license**, and code is released under the **MIT license**.

Note: This new documentation was developed by fralfaro. You can find the repository at the following link: fralfaro/python4ds-book.

## R for Data Science

🌐 R-Project

📕 6 Chapters

📅 Aug 10, 2022

This is the Jupyter notebook version of the R for Data Science by Hadley Wickham; the content is available on GitHub.

The text will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it.

Note: This new documentation was developed by fralfaro. You can find the repository at the following link: fralfaro/r4ds-book.