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A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2

Write fast, space-efficient, and scalable code using the easy-to-understand algorithms and data structures in this book. Volume 2 of the series uses Python exclusively as its language for all code implementations, in both the main text as well as the exercises and solutions included in every chapter.

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Data Structures and Algorithms in Python
October 15, 2024

A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2

The applications you write get more complex by the day. To keep up, you need to ensure your knowledge and techniques grow, too. A mastery of data structures and algorithms lets you write software more quickly; software that works, performs, and scales. Volume 2 of the series takes your knowledge of data structures and algorithms to the next level. With this practical and easy-to-understand guide, you'll create software that can tackle today's challenging problems head on. This Python edition uses Python exclusively for all code examples, exercises, and solutions.

Benchmark your Python code to learn its true speed. Design fast and elegant solutions by connecting different data structures together. Use Monte Carlo algorithms to push the limits of your application's speed and memory savings in surprising ways. Wrangle big data with B-trees and other specialized algorithms. Design efficient algorithms by cleverly sprinkling in a bit of randomization. Cram tons of data into tiny bit vectors and Bloom filters. And leverage caching to make your software blazingly fast.

Learn these sophisticated techniques and create great software that meets today's challenges.

Now available in beta from pragprog.com/titles/jwpython2.

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Upcoming Author Appearances

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