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Artem Ryblov’s Data Science Weekly Artem Ryblov’s Data Science Weekly @data_science_weekly · 685 subscribers
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Grokking Algorithms. An illustrated guide for programmers and other curious people by Aditya Y. Bhargava

Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day.

You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.

Table of Contents:
1. Introduction to algorithms
2. Selection sort
3. Recursion
4. Quicksort
5. Hash tables
6. Breadth-first search
7. Dijkstras algorithm
8. Greedy algorithms
9. Dynamic programming
10. K-nearest neighbors

Link: Book

Navigational hashtags: #armknowledgesharing #armbooks
General hashtags: #algorithms #datastructures #leetcode

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