Data Structures & Algorithms in Python

LEARN HOW TO USE DATA STRUCTURES IN WRITING HIGH PERFORMANCE PYTHON PROGRAMS AND ALGORITHMS

This  practical introduction to data structures and algorithms can help every  programmer who wants to write more efficient software. Building on  Robert Lafore's legendary Java-based guide, this book helps you  understand exactly how data structures and algorithms operate. You'll  learn how to efficiently apply them with the enormously popular Python  language and scale your code to handle today's big data challenges.

Throughout,  the authors focus on real-world examples, communicate key ideas with  intuitive, interactive visualizations, and limit complexity and math to  what you need to improve performance. Step-by-step, they introduce  arrays, sorting, stacks, queues, linked lists, recursion, binary trees,  2-3-4 trees, hash tables, spatial data structures, graphs, and more.  Their code examples and illustrations are so clear, you can understand  them even if you're a near-beginner, or your experience is with other  procedural or object-oriented languages.

• Build core computer science skills that take you beyond merely “writing code”
• Learn how data structures make programs (and programmers) more efficient
• See how data organization and algorithms affect how much you can do with today's, and tomorrow's, computing resources
• Develop data structure implementation skills you can use in any language
• Choose the best data structure(s) and algorithms for each programming problem―and recognize which ones to avoid

 Data Structures & Algorithms in Python is packed with examples, review questions, individual and team  exercises, thought experiments, and longer programming projects. It's  ideal for both self-study and classroom settings, and either as a  primary text or as a complement to a more formal presentation.