Scipy Lecture Notes
Gael Varoquaux, Emmanuelle Gouillart, Olav Vahtras, Pierre de Buyl
A complete tutorial on the scientific Python stack, written by the core developers of the libraries themselves. Covers NumPy, matplotlib, SciPy, pandas, scikit-learn, and image processing, moving from first steps to advanced numerical work.
Loading the book...
Keep reading
-
Next in this topic
Introduction to Data Analysis with RA hands-on R course built around public health and epidemiology datasets. Starts with installing RStudio and moves through data wrangling with dplyr, summary tables, and plotting with ggplot2, with practice questions and solutions in every chapter.
Verified PDF · Secure download - R for Beginners
A short and direct first contact with R, covering the data structures, how to read and write files, and how to produce graphics and run basic statistical models. Ideal if you want the essentials without a 400 page commitment.
Verified PDF · Secure download - An Introduction to R
The official R manual, kept current with every release of the language. Covers the data types, reading datasets, writing your own functions, statistical models, and the graphics system, straight from the team that builds R.
Verified PDF · Secure download - A Portable Workbook for Data Analysis: R for the Social Sciences
A workbook that teaches R for social research through the tidyverse, from descriptive statistics and bivariate analysis to multiple regression and categorical predictors. Every chapter pairs the code with the reasoning behind the choice of method.
Verified PDF · Secure download - Hands-On Data Visualization
A practical guide to building charts, maps, and tables that tell a clear story, using free tools you can start with today. Covers chart selection, spreadsheet and Tableau workflows, interactive maps, and how to spot a misleading graphic.
Verified PDF · Secure download
