“Python and Statistics for Climate Informatics” is designed to provide an accessible entry point into the intersection of programming, statistical analysis, and climate science. This project of writing the guide of programming equips readers with the foundational tools to navigate the world of climate informatics, using Python as a primary language for data analysis and visualization.
* This project is still in progress, new chapters and updates will be uploaded whenever it is available.
* Please note that the documentation may contain errors; if you come across any, kindly let me know so I can make the necessary corrections.
Update Notes:
[11/18/2024] Document added:
1. Beginner’s Guide 1 – Basic Python Usage
2. Beginner’s Guide 2 – Numpy and Pandas
3. Beginner’s Guide 3 – Matplotlib and Datetime