Must-Read Data Structures and Algorithms Books for Every Developer

10

Known as the "bible" for algorithms, covering a wide range from basics to advanced topics like graph algorithms and multithreading. Not beginner-friendly but essential for deeper understanding.

Introduction to Algorithms

1

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Beginner-friendly guide covering basics to advanced topics with C programming language examples, suitable for interviews and exams.

2

Data Structures and Algorithms Made Easy

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Algorithms

Highly rated for Java programmers, offering in-depth coverage from fundamentals to advanced graph and string matching algorithms.

3

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Grokking Algorithms

Focuses on Python programming, featuring interactive explanations with diagrams, suitable for beginners and reference.

4

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The Algorithm Design Manual

Intermediate to advanced resource with pseudo-codes for various algorithms, covering a wide array of techniques and resources.

5

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Algorithms Unlocked

Focuses on practical applications of algorithms, ideal for readers interested in understanding algorithmic tasks in everyday technology.

6

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Introduction to Algorithms

Advanced-level book focusing on the mathematical aspects of algorithm design, suitable for those interested in deep mathematical analysis.

7

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Problem-solving with Algorithms and Data Structures using Python

8

Basic-level book introducing data structures and algorithms using Python, suitable for beginners in Python programming.

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Algorithms in a Nutshell

Provides implementation tips for Java, C, C++, and Python programmers, covering basic to advanced algorithms with explanations and diagrams.

9

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Advanced Data Structure

Designed for advanced readers and data science practitioners, delving into intricate details of data storage within data analysis, less suitable for beginners.

10

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