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Grokking Algorithms. An illustrated guide for programmers and other curious people
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- Nombre de pages238
- FormatGrand Format
- PrésentationBroché
- Poids0.43 kg
- Dimensions18,7 cm × 23,3 cm × 1,2 cm
- ISBN978-1-61729-223-1
- EAN9781617292231
- Date de parution25/05/2016
- ÉditeurManning
Résumé
An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.
Grokkiag Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like dynamic programming and recommender systems. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.
Grokkiag Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like dynamic programming and recommender systems. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.
L'éditeur en parle
What's Inside : Covers search, sort, and graph algorithms. Over 400 pictures with detailed walkthroughs. Performance trade-offs between algorithms. Python-based code samples. SOFTWARE DEVELOPMENT grokking algorithms
A propos de Aditya Y. Bhargava