Data Structures Using Python
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Data Structures & Algorithms in Python
Author: Robert Lafore
language: en
Publisher: Addison-Wesley Professional
Release Date: 2022-09-06
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.
Data Structures for Engineers and Scientists Using Python
The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of advanced level. The text further discusses important concepts such as polynomial manipulation, sparse matrices, implementation of stack using the queue model and topological sorting. This book: Discusses the implementation of various data structures such as an array, stack, queue, tree and graph along with sorting and searching algorithms. Includes programming tips to highlight important concepts and help readers avoid common programming errors. Presents each concept of data structure with a different approach and implements the same using Python programming. Offers rich chapter-end pedagogy including objective-type questions (with answers), review questions and programming exercises to facilitate review. Covers fundamentals of Python up to object-oriented concepts including regular expression. It is primarily written for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering and information technology.
Data Structures in Python
Author: Thompson Carter
language: en
Publisher: Independently Published
Release Date: 2024-12-11
Unlock the power of efficient programming with Data Structures in Python: Algorithms and Data Structures Explained. Whether you're a beginner looking to learn the foundations of data structures or an experienced programmer wanting to deepen your knowledge, this book provides clear, step-by-step explanations of the core concepts and algorithms that form the backbone of computer science. Using Python as the primary language, this book breaks down complex data structures and algorithms into easy-to-understand lessons, providing practical examples and hands-on projects to help you master each concept. From arrays and lists to trees and graphs, you'll gain a comprehensive understanding of how to efficiently organize, store, and manipulate data to solve problems more effectively. Data Structures in Python covers: Understanding Data Structures: Learn about the importance of data structures and how they affect the efficiency of your code. Understand the basics of lists, tuples, sets, and dictionaries. Advanced Data Structures: Dive into more advanced structures like stacks, queues, linked lists, binary trees, heaps, and hash tables, and understand how to implement them in Python. Algorithms in Python: Get hands-on with algorithms for searching, sorting, and traversing data structures. Learn about key algorithms like quicksort, mergesort, and Dijkstra's algorithm, and see how they are implemented in Python. Time and Space Complexity: Learn the Big O notation to analyze the performance of algorithms and data structures, helping you write more efficient code. Practical Applications: See how data structures are used in real-world applications, including databases, web development, game programming, and machine learning. Python Code Examples: Each chapter includes clear, concise Python code examples to show how you can implement and work with various data structures and algorithms. Optimizing Solutions: Learn how to optimize your code to handle larger datasets efficiently and avoid common performance pitfalls. Hands-On Projects: Reinforce your learning with practical exercises and projects that challenge you to implement what you've learned and build solutions to real-world problems. Whether you are looking to improve your coding skills, prepare for technical interviews, or simply understand how data is processed in Python, this book is the perfect guide to mastering data structures and algorithms. Master data structures and algorithms in Python today. Get your copy of Data Structures in Python and start solving problems more efficiently!