GATE 2023: Best GATE Books for Computer Science Engineering

Here are the Best GATE Books for Computer Science Engineering exam preparations for 2023.

Best Books for GATE Computer Science Engineering Exam 2023:

Data Structures And Algorithms Made Easy

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1. The book contains lots of examples with plenty of unsolved questions having proper & detailed solutions.
2. Printing fonts are too small and paper quality is also average with some typing errors.

Operating System Concepts

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1. This book covers all essential aspects of operating systems, explaining the concepts of the fundamentals in detail.
2. Coloring diagrams are very easy to understand, chapters are well explained with lots of activities and codes that you can do, case study-based activity &  chapter-based questions too.

Automata Theory Language & Computation

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1. This new edition comes with Gradiance, an online assessment tool developed for computer science. Gradiance is the most advanced online assessment tool designed for the computer science discipline.
2. With its innovative underlying technology, Gradiance turns basic homework assignments and programming labs into an interactive learning experience for students.

Computer Organization

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1. This book illustrates the principles of computer organization by using several extensive examples drawn from commercially available computers.
2. The machines discussed in the book are the Motorola 680X0 and 683XX families, Intel80X86 and Pentium families, ARM family, Sun Microsystems Sparc family, and DEC(Compaq) Alpha family. The 68000, Pentium, and ARM are used as detailed examples early in the book.

Digital Design

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1. This textbook presents the basic tools for the design of digital circuits and provides procedures suitable for a variety of digital applications.

Software Engineering

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1. The chapter structure will return to a more linear presentation of software engineering topics with a direct emphasis on the major activities that are part of a generic software process.
2. The 39 chapters of this edition are organized into five parts – process, modeling, quality management, managing software projects, and Advanced topics.