From now on, algorithms are no longer boring and dry! With this book, it will be easy for you to understand its functioning. All algorithms are explained using examples from everyday life, e.g. the difference between arrays and chained lists based on the task of finding free seats in a cinema hall.

For use in practice

You'll learn the most important algorithms that help you speed up your programs, simplify your code and solve the most common programming tasks. Start with simple tasks such as sorting and searching. Equipped with these basics, you can tackle even more difficult tasks such as data compression or artificial intelligence.

Visual and practical

For all explanations, you will find clear illustrations and diagrams as well as detailed annotated example code in Python. Practice tasks with solutions for each chapter help you test and consolidate your knowledge.

From the contents:

Search, sort and graph algorithms
Analyze performance of algorithms (Landau notation)
Arrays, chained lists and hash tables
Trees and balanced trees
Recursion and Stacks
Quicksort and the Part-and-Conquer Process
Dijkstra algorithm for determining the shortest path
Approximation algorithms and NP-complete issues
Greedy Algorithms
Dynamic programming.
Classification and regression using the k-next neighbor algorithm

Voices to the book

�The book creates the impossible: math is fun and simple� (– Sander Rossel, COAS Software Systems)

�Algorithms are not boring! Reading the book was fun for me and my students and was educational." (- Christopher Haupt, Mobirobo, Inc.)

"Nowadays, there is practically no aspect of life that is not optimized by an algorithm. This book should be your first choice if you are looking for a well-explained introduction to this topic.� (- Amit Lamba, Tech Overture, LLC)

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