Python Codes for Statistics and Data Visualization in Climate Science

Download the Python code for the entire book:

1. Click Python to download the file named PythonforClimStatsV1_2024.zip, the zipped Python code for the entire book.
2. Go to your Downloads folder to find the PythonforClimStatsV1_2024.zip file.
3. Unzip the PythonforClimStatsV1_2024.zip file to obtain nine .ipynb files corresponding to the nine chapters of the book.
4. Run the .ipynb files in the Jupyter Notebook environment or Colab.

Chapter-by-chapter Python code in html files for copy-and-paste:

Chapter 1: Basics of Climate Data Arrays, Statistics, and Visualization
Chapter 2: Elementary Probability and Statistics
Chapter 3: Estimation and Decision Making
Chapter 4: Regression Models and Methods
Chapter 5: Matrices for Climate Data
Chapter 6: Covariance Matrices, EOFs, and PCs
Chapter 7: Introduction to Time Series
Chapter 8: Spectral Analysis of Time Series
Chapter 9: Introduction to Machine Learning

Citation: Shen, S.S.P., and G.R. North, 2023: Statistics and Data Visualization in Climate Science with R and Python, Cambridge University Press, Cambridge, United Kingdom, 391pp.