Some books of interest made available for free by Springer during the 2020 COVID-19 pandemic. Books that I know are good are in bold.
- Data Structures and Algorithms with Python
- The Algorithm Design Manual
- UML @ Classroom
- Object-Oriented Analysis, Design and Implementation
- Foundations of Programming Languages
- Systems Programming in Unix/Linux
- A Primer on Scientific Programming with Python
- The Python Workbook
- Python Programming Fundamentals
- A Beginners Guide to Python 3 Programming
- Advanced Guide to Python 3 Programming
- Data Analysis
- Introduction to Statistics and Data Analysis
- All of Statistics
- Design and Analysis of Experiments
- Applied Multivariate Statistical Analysis
- Probability
- Statistical Analysis and Data Display
- Probability Theory
- Bayesian and Frequentist Regression Methods
- Statistics and Analysis of Scientific Data
- Understanding Statistics Using R
- Regression Modeling Strategies
- Bayesian Essentials with R
- The Elements of Statistical Learning
- An Introduction to Statistical Learning
- Principles of Data Mining
- Data Mining
- The Data Science Design Manual
- An Introduction to Machine Learning
- Introduction to Data Science
- Applied Predictive Modeling
- Introduction to Artificial Intelligence
- Introduction to Deep Learning
- Neural Networks and Deep Learning
- Data Science and Predictive Analytics