At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite Computer Science books – and here are the answers.
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Understanding the concepts of Computer Science starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.
In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries.
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“Artificial Intelligence: A Modern Approach” goes beyond the basics and delves into advanced topics in AI. It covers natural language processing, an area concerned with enabling computers to understand and generate human language. The book explores techniques for parsing, semantic analysis, and machine translation.
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Computer Networking : Principles, Protocols and Practice is an open-source ebook that explains the main principles of Computer Networking and the key protocols that are used on the Internet. The ebook is intended to be used for an upper-level undergraduate networking course.
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This introduction to compilers is the direct descendant of the well-known book by Aho and Ullman, Principles of Compiler Design. The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a thorough introduction to compiler design and covers topics such as context-free grammars
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So you want to be a programmer? Or maybe you just want to be able to make your computer do what YOU want for a change? Maybe you enjoy the challenge of identifying a problem and solving it. If programming intrigues you for whatever reason, Beginning Programming All In One Desk Reference For Dummies is like having a starter programming library all in one handy, if beefy, book.
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The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms.
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These books are not required for you to learn Computer Science, but they are highly recommended for you to deepen your knowledge.
The authors of "Practical Programming: An Introduction to Computer Science Using Python 3.6" make clear the distinction between programming and computer science. This book offers an introduction to both, but will take the novice much further down the path of computer programming.
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Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves. The authors begin by describing what patterns are and how they can help you design object-oriented software.
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Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.
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Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode.
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Refactoring is improving or updating code without changing its external function or nonfunctional attributes. Refactoring cleans up the nonfunctional elements of software, making it easier to maintain, extend, integrate, align with evolving standards, and continue performing at acceptable speeds.
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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA cours…
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You've got your basics in order – time to move on to some advanced and specialized concepts. Computer Science is evolving every day, these books can help you master it.
The Pragmatic Programmer is one of those rare tech books you’ll read, re-read, and read again over the years. Whether you’re new to the field or an experienced practitioner, you’ll come away with fresh insights each and every time.
Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding.…
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This list is curated by MentorCruise and can include Amazon affiliate links. Have any other suggestions? Add here.
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