This book teaches algorithms and data structures. Using diagrams and fully annotated code samples in Javascript, Kirupa Chinnathambi starts with the basics and gradually goes deeper and broader into all the techniques needed to organize data. The author argues that efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same.
Author: Kirupa Chinnathambi Publisher: Addison-Wesley Date: November 2023 Pages: 416 ISBN: 978-0138222291 Print: 0138222290 Kindle: B0CCTZ37DQ Audience: General Level: Introductory/Intermediate Category: Methodology
- Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more
- Walk through popular search, sort, and graph algorithms
- Understand Big-O notation and why some algorithms are fast and why others are slow
- Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms
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The C# Workshop (Packt)
Author: Jason Hales, Almantas Karpavicius and Mateus Viegas Publisher: Packt Date: September 2022 Pages: 780 ISBN: 978-1800566491 Print: 1800566492 Kindle: B0BGRBDJLS Audience: C# developers Rating: 4 Reviewer: Mike James C# is not the language it once was - time for a revival?
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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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