Grokking Algorithms, Second Edition
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
Exclusivo para miembros Prime: ¿Nuevo en Audible? Obtén 2 audiolibros gratis con tu prueba.
Grokking Algorithms, Second Edition
Compra ahora por $19.95
-
Narrado por:
-
Julie Brierley
A friendly, fully-illustrated introduction to the most important computer programming algorithms. Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide!
In Grokking Algorithms, Second Edition you will discover:
- Search, sort, and graph algorithms.
- Data structures such as arrays, lists, hash tables, trees, and graphs.
- NP-complete and greedy algorithms.
- Performance trade-offs between algorithms. Exercises and code samples in every chapter.
- Over 400 illustrations with detailed walkthroughs.
The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees, and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3.
About the book: Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3.
About the listener: No advanced math or programming skills required.
About the author: Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 Manning Publications (P)2025 Manning Publications