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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Python Programming and Visualization for Scientists 2nd Ed
Author: Alex DeCaria and Grant Petty Publisher: Sundog Publishing Pages: 372 ISBN: 978-0972903356 Print: 0972903356 Audience: Scientists wanting to use Python Rating: 2 Reviewer: Mike James Visualization - a difficult topic and difficult to see how to explain the ideas in a book.
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Embracing Modern C++ Safely
Author: Dr. John Lakos, Vittorio Romeo, Dr. Rostislav Khlebnikov and Alisdair Meredith Publisher: Addison-Wesley Date: December 2021 Pages: 1376 ISBN: 978-0137380350 Print: 0137380356 Kindle: B09HTFQB92 Audience: C++ developers Rating: 4 Reviewer: Harry Fairhead Writing safe C++ - sounds essential
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