This compilation includes a selection of free programming resources available in digital or online formats. These books offer enduring wisdom that transcends specific programming languages. Note: Some titles within this collection may utilize a particular programming language, such as Python, to exemplify general programming principles.
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Written by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, and Shriram Krishnamurthi, this book delves into the art of designing computer programs, encompassing software for desktops, mobile devices, or the web. Spanning 55 pages, it serves as a comprehensive guide to the programming design process.
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Produced by multiple authors, this book consists of 98 web pages and is published by O’Reilly Media. It gathers insights and “pearls of wisdom” from prominent programmers, offering valuable perspectives for those in the field.
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Authored by Jeffrey Ullman and Alfred Aho, this textbook, first published in 1992 and now out of print, remains a foundational text in Computer Science theory. The authors emphasize its relevance over time, stating, “We believed in 1992 it was the way to introduce theory in Computer Science, and we believe that today.” The book comprises 775 pages.
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David Evans’s book covers essential computer science concepts and is not exclusively about Python or Scheme. It spans 266 pages and provides a broad introduction to the field.
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Written by Qi, this book presents 195 stories in the form of fables, exploring the art and practice of software development.
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Karl Fogel’s “Producing Open Source Software” consists of 24 web pages and offers insights into the human aspects of open source development, including project operations, user and developer expectations, and the free software culture.
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Richard P. Gabriel’s collection of essays examines various programming topics, providing both entertainment and deep insights into the programmer’s life and mindset. The book contains 239 pages.
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This trilogy, written by multiple authors, explores the design and architecture of open source software. It is particularly recommended for junior developers looking to understand the thought processes of their more experienced peers.
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Based on Karl Seguin’s “Foundations of Programming” article series, this book, spanning 79 pages, addresses topics such as unit testing, memory allocation, and DRY code, offering foundational knowledge from a .NET developer’s perspective.
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Written by Daniel Shiffman, this book explores naturally occurring phenomena and how they can be simulated with code, utilizing Processing for code samples across 17 web pages.
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Zed A. Shaw’s book on regular expressions, or regex, spans 31 web pages and aims to demystify this powerful yet challenging concept that has been integral to modern programming since the 1950s.
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This book, by Karl Seguin, covers foundational programming concepts like data types and conditional statements in 7 web pages.
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From Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris Meyers, this book focuses on problem-solving skills, which are crucial for computer scientists. It consists of 39 web pages.
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This book, by Venkatesan Guruswami, Atri Rudra, and Madhu Sudan, delves into mathematical concepts, algorithms, and patterns related to code, making it a challenging but rewarding read for those with a strong interest in coding theory.
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Written by Steven F. Lott, this book uses Python to teach fundamental programming concepts such as functions, data types, objects, and conditional statements across 491 pages.
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