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.
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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"The Self-taught Programmer" is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview. I divided the book into five sections: 1. Learn to program in Python 3 and build your first program.
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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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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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Code Complete is a software development book, written by Steve McConnell and published in 1993 by Microsoft Press, encouraging developers to continue past code-and-fix programming and the big design up front and waterfall models.
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A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world.
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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.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do …
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Theory of computation deals with developing mathematical models of computation. This area of research is divided into three subareas: complexity theory, computability theory and automata theory. We mostly review basic structures of automata theory which are languages and finite state automata in this chapter.
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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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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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Released just three years ago, The Big Fat Notebooks revolutionized the study guide for middle schoolers, and students, parents, and teachers responded—the series has nearly 4 million copies in print with sales escalating every year. Now introducing Everything You Need to Ace Computer Science and Coding, an essential new title with the potential to run hand-in-hand with—or even outrun—Math (ov…
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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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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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