Free, open-license Computer Science books in PDF for university (BSCS, BSIT and Software Engineering) students in Pakistan. This section covers the core HEC-curriculum courses — Programming Fundamentals, Object-Oriented Programming, Data Structures and Algorithms, Database Systems, Operating Systems and more.Each book is chosen to match the courses actually taught in Pakistani BS programs, so students can practise coding concepts and revise theory for their semester exams without cost. One book often serves multiple degree programs, so you will find the same title referenced across BSCS, BSIT and Software Engineering.
Free Introduction to Python Programming PDF from OpenStax, with chapter summaries, key points and practice questions for BSCS, BSIT and BS Data Science students.
Free OpenStax textbook for a first course in computer science: 14 chapter summaries, key points, practice questions and a study plan for BSCS and BSIT students.
Free C Programming PDF by Wikibooks contributors — covers syntax, pointers, memory management, sockets and macros for BSCS/BSIT students.
Free PDF of forallx, P.D. Magnus’s open logic textbook (CC BY 4.0) — six chapters from arguments to natural deduction proofs, for BSCS and Philosophy students.
Read R for Data Science, 2nd Edition, free online. The complete O’Reilly guide to importing, tidying, transforming, and visualizing data with the tidyverse.
Read Forecasting: Principles and Practice (FPP3) by Rob J Hyndman & George Athanasopoulos free online — the standard R textbook for time series forecasting.
Read Python Data Science Handbook (2nd Edition) by Jake VanderPlas free online — the standard hands-on reference for NumPy, Pandas, Matplotlib, and Scikit-Learn.
Read Reinforcement Learning: An Introduction by Sutton & Barto (2nd Edition, MIT Press) free online, with chapter-by-chapter summaries, key points and FAQs for BSCS/MS Reinforcement Learning courses.
Read Interpretable Machine Learning by Christoph Molnar (3rd Edition, 2025) free online – the standard reference for explaining black-box ML models with LIME, SHAP, Shapley values, PDP, ALE and more.
Free official HTML edition of Claus O. Wilke’s Fundamentals of Data Visualization (O’Reilly, 2019): 30 chapters on choosing and designing honest, compelling figures.
Read Michael Nielsen’s free online book Neural Networks and Deep Learning – backpropagation, regularization and convolutional networks explained and derived from scratch, chapter by chapter.
Free online book: Bayesian Methods for Hackers by Cameron Davidson-Pilon. Learn Bayesian inference, MCMC and PyMC through worked examples for BSCS/BS Stats.