Python Codes for Climate Statistics

Chapter-by-Chapter Python Code:
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: JCovariance Matrices, EOFs, and PCs
Chapter 7: JIntroduction 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.