Best Computer Science Books: Books For Computer Science Grads

Best Computer Science Books

The knowledge that a book can impart is incomparable to any other mode of education. We will be talking about Best Computer Science Books.

Technological advancement has gradually changed all the spheres of life. The way of education has changed in recent times, and the concept of e-books and e-learning are now into the light.

Best Computer Science Books Intro to Python for Computer Science and Data Science

For introductory-level Python programming and/or data-science courses.   A groundbreaking, flexible approach to computer science and data science The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements.
Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science.

Computer Science Illuminated

Designed for the introductory computing and computer science course, the student-friendly Computer Science Illuminated, Seventh Edition provides students with a solid foundation for further study, and offers non-majors a complete introduction to computing. Fully revised and updated, the Seventh Edition of this best-selling text retains the accessibility and in-depth coverage of previous editions, while incorporating all-new material on cutting-edge issues in computer science.
Authored by the award-winning team Nell Dale and John Lewis, the text provides a unique and innovative layered approach, moving through the levels of computing from an organized, language-neutral perspective.New & Key Features of the Seventh Edition: NEW & REVISED – Includes new and enhanced content on:o Cloud Computing in Chapter 15o Big Data in Chapter 12o Smart Speakers in the home in Chapter 13o Computer and System Security in Chapter 17 NEW – Includes all new content in Chapter 6, Low-Level Programming Languages and Pseudocode, with updated examples using the Pep/9 machine UPDATED – Ethical Issues at the end of each chapter have been updated to delve into current issues and trends, while new Did You Know boxes and updated biographical sketches reflect the latest information in the field

Best Computer Science Books Python Programming

This third edition of John Zelle’s Python Programming continues the tradition of updating the text to reflect new technologies while maintaining a time-tested approach to teaching introductory computer science. An important change to this edition is the removal of most uses of eval and the addition of a discussion of its dangers. In our increasingly connected world, it’s never too early to begin considering computer security issues. This edition also uses several new graphics examples, developed throughout chapters 4-12.
[IMPORTANT NOTICE TO PURCHASERS: Any Kindle edition of this book is an illegal reproduction and is unauthorized by the author and the publisher.
Best Computer Science Books

Think Perl 6

Want to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Perl 6, the younger sister of the popular Perl programming language. Ideal for beginners, this hands-on book includes over 100 exercises with multiple solutions, and more than 1,000 code examples so you can quickly practice what you learn. Experienced programmers—especially those who know Perl 5—will also benefit
Divided into two parts, Think Perl 6 starts with basic concepts that every programmer needs to know, and then focuses on different programming paradigms and some more advanced programming techniques. With two semesters’ worth of lessons, this book is the perfect teaching tool for computer science beginners in colleges and universities
Learn basic concepts including variables, expressions, statements, functions, conditionals, recursion, and loops
Understand commonly used basic data structures and the most useful algorithms.

Best Computer Science Books Introduction to Compiler Design

This textbook is intended for an introductory course on Compiler Design, suitable for use in an undergraduate programme in computer science or related fields. The text presents techniques for making realistic, though non-optimizing, compilers for simple programming languages.

Learn CS Concepts with Scratch

Who this book is for: This book is perfect for students who are keen to learn CS concepts and have no prior programming background. In addition to learning a lot of Computer Science concepts, you will do a series of interesting projects and programming activities. You will work on a few big projects, and you will also write many small “practice programs”. You will learn and apply concepts of computer programming and computer science when you write these programs. Scratch language: The choice of programming language is critical to achieve the intended objectives of teaching CS to beginners.
In this book we use the Scratch programming language. Scratch is an entertaining and powerful language, and yet it is easy to learn. It is known as a “low floor and high ceiling” language – it allows the learner to build his/her vocabulary without getting mired in the complexities of syntax and grammar. There is a lot of material on Scratch Programming on the Internet, including videos, online courses, Scratch projects, and so on. This book is meant to offer a more organized and tutorial-like treatment to learning Scratch. It is also focused more on learning CS concepts rather than Scratch itself. Why learn programming: The idea of using computer programming as a medium for learning is rapidly gaining acceptance. The benefits of learning programming and computer science concepts well before college – even in elementary grades – are well-understood. Here is a list of some of the amazing things that happen when children engage in computer programming: – Children become active and creative learners, because they explore ideas through a hands-on activity with an infinitely powerful tool. – They learn to think about and analyze their own thinking, because that is the only way to program computers.
Best Computer Science Books

Best Computer Science Books Understanding Computers, Smartphones and the Internet

Most introductory books about computers are either long, detailed technical books such as those used in a computer science course or tutorials that provide instructions on how to operate a computer with little description of what happens inside the machine. This book fits in the large gap between these two extremes. It is for people who would like to understand how computers work, without having to learn a lot of technical details. There is no math except some simple arithmetic. The only prerequisite is knowing how to use a web browser.
The fundamentals of hardware, software, the Internet and smartphones are explained, using examples and diagrams that are easy to follow. This book only covers current day technology. People who are interested in learning about how computers evolved from the earliest machines can read the companion book “A Concise History of Computers, Smartphones and the Internet”, by Ernie Dainow. While primarily intended for people who are not in the computer field, this book is also useful as adjunct reading for those taking a coding course or an introductory computer science course. Even people already in the computer field will find things of interest in this book.

Cryptography Made Simple

In this introductory textbook the author explains the key topics in cryptography. He takes a modern approach, where defining what is meant by “secure” is as important as creating something that achieves that goal, and security definitions are central to the discussion throughout.The author balances a largely non-rigorous style ― many proofs are sketched only ― with appropriate formality and depth.
For example, he uses the terminology of groups and finite fields so that the reader can understand both the latest academic research and “real-world” documents such as application programming interface descriptions and cryptographic standards. The text employs colour to distinguish between public and private information, and all chapters include summaries and suggestions for further reading.This is a suitable textbook for advanced undergraduate and graduate students in computer science, mathematics and engineering, and for self-study by professionals in information security. While the appendix summarizes most of the basic algebra and notation required, it is assumed that the reader has a basic knowledge of discrete mathematics, probability, and elementary calculus

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