Classic Computer Science Problems In Python
  • Classic Computer Science Problems In Python
  • Classic Computer Science Problems In Python
ISBN: 1617295981
EAN13: 9781617295980
Language: English
Release Date: Mar 15, 2019
Pages: 275
Dimensions: 1" H x 9.25" L x 7.38" W
Weight: 1.113334 lbs.
Format: Paperback
Select Format Format: Paperback Select Conditions Condition: Good


Format: Paperback

Condition: Good

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Book Overview

Highly recommended to everyone interested in deepening their understanding of Python and practical computer science. Key Features > Master formal techniques taught in college computer science classes > Connect computer science theory to real-world applications, data, and performance > Prepare for programmer interviews > Recognize the core ideas behind most new challenges > Covers Python 3.7 Note: Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About The Book

Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the new problems you'll face when you start your next project.

In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time.

What You Will Learn

- Search algorithms
- Common techniques for graphs
- Neural networks
- Genetic algorithms
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