Subtitled "Learning and Improving Algorithms Through Contests", this book looks at how competitive programming is a proven method of implementing and testing algorithms, as well as developing computational thinking and improving programming and debugging skills. Author Dr. Antti Laaksonen introduces dynamic programming and other fundamental algorithm design techniques, and investigates a wide selection of graph algorithms, as well as covering more advanced topics, such as maximum flows, Nim theory, and suffix structures. This new edition features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems.
<ASIN:3030393569>
Author: Dr. Antti Laaksonen Publisher: Springer Date:May 2020 Pages: 324 ISBN: 978-3030393564 Print: 3030393569 Kindle: B088CV4YLP Audience: computer science undergraduates or developers interested in competitive programming Level: Intermediate/Advanced Category: Theory

- Introduces dynamic programming and other fundamental algorithm design techniques, and investigates a wide selection of graph algorithms
- Compatible with the IOI Syllabus, yet also covering more advanced topics, such as maximum flows, Nim theory, and suffix structures
- Surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming
- Reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets
- Discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library
- Covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries
- Describes a selection of more advanced topics, including square-root algorithms and dynamic programming optimization
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Foundational Python For Data Science
Author: Kennedy Behrman Publisher: Pearson Pages:256 ISBN: 978-0136624356 Print: 0136624359 Kindle: B095Y6G2QV Audience: Data scientists Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a simple introduction to Python, specifically how to use it to work with data.
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SQL Query Design Patterns and Best Practices
Author: Steve Hughes et al Publisher: Packt Publishing Pages: 270 ISBN: 978-1837633289 Print: 1837633282 Kindle: B0BWRD7HQ7 Audience: Query writers Rating: 2.5 Reviewer: Ian Stirk
This book aims to improve your SQL queries using design patterns, how does it fare?
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