Computer Science⌗

The Structure and Interpretation of Computer Programs - Harold Abelson

Computer Systems - A Programmer’s Perspective - Randall E. Bryant & David R. O’Hallaron

The Algorithm Design Manual - Steven S. Skiena

A Common-Sense Guide to Data Structures and Algorithms - Level Up Your Core Programming Skills – Jay Wengrow

Mathematics for Computer Science - Eric Lehman, F. Thomson Leighton, & Albert R. Meyer

Computer Networking - A Top Down Approach - James F. Kurose

Crafting Interpreters - Robert Nystrom

Designing Data-Intensive Applications - The Big Ideas Behind Reliable, Scalable, and Maintainable Systems - Martin Kleppmann

Distributed Systems - Maarten Van Steen, Andrew S. Tanenbaum

Data Science⌗

Introducing Python - Modern Computing in Simple Packages - Bill Lubanovic

An Introduction to Statistical Learning with Applications in Python - Gareth James

Fluent Python - Clear, Concise, and Effective Programming - Luciano Ramahlo

Learning SQL - Generate, Manipulate, and Retrieve Data - Alan Beaulieu

Python for Data Analysis - Data Wrangling with NumPy, Pandas & Jupyter - Wes McKinney

Python Data Science Handbook - Essential Tools for Working with Data - Jake VanderPlas

Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems – Aurélien Géron

AI and Machine Learning for Coders - A Programmer’s Guide to Artificial Intelligence - Laurence Moroney

Applied Machine Learning and AI for Engineers - Solve Business Problems That Can’t Be Solved Algorithmically - Jeff Prosise

Architecture Patterns with Python - Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices - Harry J.W. Percival & Bob Gregory

Designing Machine Learning Systems - An Iterative Process for Production-Ready Applications - Chip Huyen