by Thomas Haslwanter is a practical guide designed to bridge the gap between experimental research and computational data analysis.
Now in its second edition (2022) , the book serves as a "computational toolbox" for researchers who need to perform statistical tests without necessarily becoming expert mathematicians. Key Features & Content An Introduction to Statistics with Python: With...
The book is structured into three distinct parts to take a reader from setup to advanced modeling: by Thomas Haslwanter is a practical guide designed