Mastering algorithms and data structures enables you to write code that runs faster and more efficiently. Author Jay Wengrow takes a practical approach with techniques and real-world scenarios that you can use in your daily production code, and brings to this book the key teaching practices he developed as a web development bootcamp founder and educator
<ASIN:1680502441>
Graphics and examples are used to ensure the concepts are understandable and relevant, with examples in the book in JavaScript, Python, and Ruby.
Author: Jay Wengrow Publisher: O'Reilly Date: August 2017 Pages: 220 ISBN: 978-1680502442 Print: 1680502441 Kindle: B075FZ9P7N Audience: Developers who want to learn about computer science Level: intermediate Category: Theory & Techniques
- Use Big O notation, the primary tool for evaluating algorithms, to measure the efficiency of your code.
- Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write.
- Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives.
- Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software.
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Visual Complex Analysis
Author: Tristan Needham Publisher: Clarendon Press Pages: 616 ISBN: 978-0198534464 Print: 0198534469 Kindle: B0BNKJTJK1 Audience: The mathematically able and enthusiastic Rating: 5 Reviewer: Mike James What's complex about complex analysis?
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Python All-in-One, 2nd Ed (For Dummies)
Authors: John Shovic and Alan Simpson Publisher: For Dummies Date: April 2021 Pages: 720 ISBN: 978-1119787600 Print: 1119787602 Kindle: B091DGDLK8 Audience: People wanting to learn Python Rating: 2 Reviewer: Mike James All-in-one refers to the fact that this is seven books put together - why?
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