- 256-Color VGA Programming in C - David Brackeen
- A Tutorial on Pointers and Arrays in C - Ted Jensen (PDF) ( 🗃️ archived)
- Algorithms Design (in C) - Paulo Feofiloff (HTML)
- Bare-metal programming for ARM - Daniels Umanovskis (PDF)
- Beej's Guide to C Programming - Brian "Beej Jorgensen" Hall (HTML, PDF) (CC BY-NC-ND)
- Beej's Guide to the GNU Debugger (GDB) - Brian "Beej Jorgensen" Hall (HTML) (CC BY-NC-ND)
- Build Your Own Lisp - Daniel Holden
- Build Your Own Redis with C/C++ - build-your-own.org (HTML) ( 🚧 in process)
- C Elements of Style - Steve Oualline
- C for Python Programmers - Carl Burch
- C Handbook - Flavio Copes (HTML, PDF)
- C Internals - Rajeev Kumar (HTML)
- C Notes for Professionals - Compiled from StackOverflow Documentation (PDF)
- C Programming - Wikibooks
- C Programming Boot Camp - Paul Gribble
- C Programming Tutorial - Tutorials Point (HTML, PDF)
- Coursebook - B. Venkatesh, L. Angrave, et al.
- Deep C
- Essential C - Nick Parlante (PDF)
- Essential C - Krzysztof Kowalczyk, StackOverflow Contributors
- Everything you need to know about pointers in C - Peter Hosey (HTML)
- Functional C (1997) - Pieter H. Hartel, Henk Muller (PDF)
- Hashing - Prakash Hegade
- Introduction to Programming and Data Structures in C - CodeAhoy (HTML)
- Learn to Code With C - The MagPi Essentials (PDF)
- Learning GNU C - Ciaran O’Riordan (PDF)
- Let us C - Yashavant Kanetkar (PDF)
- Modeling with Data - Ben Klemens (PDF)
- Modern C - Jens Gustedt (PDF) (CC BY-NC-ND)
- Object-Oriented Programming With ANSI-C - Axel-Tobias Schreiner (PDF)
- Programming in C - Bharat Kinariwala & Tep Dobry
- Programming in C - Kishori Mundargi
- Structures and C - Prakash Hegade
- The Basics of C Programming - Marshall Brain (PDF)
- The C book - Mike Banahan, Declan Brady, Mark Doran (PDF, HTML)
- The C Programming Language Handbook - Flavio Copes (PDF, EPUB, Kindle) (email address requested)
- The Current C Programming Language Standard – ISO/IEC 9899:2018 (C17/C18), Draft - Open Standards Org - www.open-std.org (PDF) ( 🗃️ archived)
- The GNU C Programming Tutorial - Mark Burgess, Ron Hale-Evans (PDF)
- The GNU C Reference Manual - Trevis Rothwell, James Youngman (HTML) (PDF)
- The little book about OS development - Erik Helin, Adam Renberg
- The New C Standard - An Economic and Cultural commentary (2009) - Derek M. Jones (PDF)
- TONC GBA Programming - Game Boy Advance Development
- Tcl for Web Nerds - Hal Abelson, Philip Greenspun, Lydia Sandon (HTML)
- Tcl Programming - Richard Suchenwirth, et al.
- Advanced R Programming - Hadley Wickham
- An Introduction to ggplot2 - Ozancan Ozdemir
- An Introduction to R - David M. Smith, William N. Venables
- An Introduction to Statistical Learning with Applications in R - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (PDF)
- Behavior Analysis with Machine Learning Using R - Enrique Garcia Ceja (HTML) (CC BY-NC-ND)
- Beyond Multiple Linear Regression - Paul Roback, Julie Legler
- blogdown: Creating Websites with R Markdown - Yihui Xie, Amber Thomas, Alison Presmanes Hill
- Cookbook for R - Winston Chang
- Data Analysis and Prediction Algorithms with R - Rafael A. Irizarry
- Data Mining Algorithms In R - Wikibooks
- Data Visualization with R - Martin Schweinberger (HTML)
- Deep R Programming - Marek Gagolewski (PDF)
- Efficient R programming - Colin Gillespie, Robin Lovelace
- Exploratory Data Analysis with R - Roger D. Peng
- Forecasting: Principles and Practice - Rob J Hyndman, George Athanasopoulos
- Functional Programming - Sara Altman, Bill Behrman, Hadley Wickham
- Geocomputation with R - Robin Lovelace, Jakub Nowosad, Jannes Muenchow
- Hands-On Programming with R - Garrett Grolemund
- Introduction to Probability and Statistics Using R - G. Jay Kerns (PDF)
- Learning Statistics with R - Danielle Navarro
- Mastering Software Development in R - Roger D. Peng, Sean Kross, and Brooke Anderson
- Model Estimation by Example, Demonstrations with R - Michael Clark
- Modern R with the tidyverse - Bruno Rodrigues
- Modern Statistics with R - Måns Thulin
- ModernDive - Chester Ismay, Albert Y. Kim
- Practical Regression and Anova using R - Julian J. Faraway (PDF)
- R for Data Science - Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
- R for Spatial Analysis (PDF)
- R Language for Programmers - John D. Cook
- R Notes for Professionals - Compiled from StackOverflow Documentation (PDF)
- R Packages - Hadley Wickham, Jenny Bryan
- R Practicals (PDF)
- R Programming - Wikibooks
- R Programming for Data Science - Roger D. Peng
- R Succinctly, Syncfusion (PDF, Kindle) (email address requested, not required)
- Statistical Inference via Data Science - Chester Ismay, Albert Y. Kim
- Summary and Analysis of Extension Program Evaluation in R - Salvatore S. Mangiafico
- Supervised Machine Learning for Text Analysis in R - Emil Hvitfeldt, Julia Silge
- The caret Package - Max Kuhn
- The R Inferno - Patrick Burns (PDF)
- The R Language
- The R Manuals
- Tidy Modelling with R - Max Kuhn and Julia Silge
- Tidy Text Mining with R - Julia Silge, David Robinson
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