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.
"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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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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Algorithms to Live By' by Brian Christian and Tom Griffiths explores how we can use algorithms from computer science to make better decisions in our daily lives. It offers practical insights on how to optimize time, prioritize tasks, and make choices with the help of an algorithmic approach.
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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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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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Guide to developing and using functions and formulas in Excel. This clear and concise coverage of the ins and outs of formula creation and use touches on many forms of math from statistics & trig to financial math. The sheer volume and wealth of information in these 6 pages is equal to 30 pages or more from your average book on the same subject. Includes screenshots.
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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.
"Cracking the Coding Interview" presents problems requiring versatile reasoning and proposes multiple solution approaches. It encourages readers to develop multiple solutions for each problem. The book provides explanations, example problems, and solutions to solve coding interview questions related to these topics.
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The main qualities of what the authors refer to as a pragmatic programmer are being an early adopter, to have fast adaptation, inquisitiveness and critical thinking, realism, and being a jack-of-all-trades.
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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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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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