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Key benefits

Explore functional and reactive implementations of traditional and advanced data structures

Apply a diverse range of algorithms in your Python code

Implement the skills you have learned to maximize the performance of your applications

Description

Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.

What you will learn

Understand common data structures and algorithms using examples, diagrams, and exercises

Explore how more complex structures, such as priority queues and heaps, can benefit your code

Implement searching, sorting, and selection algorithms on number and string sequences

Become confident with key string-matching algorithms

Understand algorithmic paradigms and apply dynamic programming techniques

Use asymptotic notation to analyze algorithm performance with regard to time and space complexities

Write powerful, robust code using the latest features of Python

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

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Frequently bought together

Hands-On Data Structures and Algorithms with Python – Third Edition

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Siddhant Kochrekar Apr 23, 2023

While writing production level code, I have encountered many situations where the efficiency of the chosen data structure or algorithm has a significant impact on the performance of the system. I was particularly interested in reviewing this book, as it aims to provide an introduction to the essential topics and extend into practical applications for each of them.It focuses both on theoretical concepts and the practical applications. The simple examples shown in the book are suitable for beginners and the complex problems are framed in such a way that even the experienced developers would benefit. This book assumes a basic level of knowledge in Python programming. In particular, the book could have included generators, decorators, and meta-classes, to showcase how these concepts can be used to implement more efficient data structures and algorithms.The book does provide valuable insights into various data structures and algorithms. The author's explanations of the concepts are clear and concise, and the code examples are well-structured and easy to understand. The book covers a wide range of topics, including linked lists, trees, graphs, and sorting algorithms, making it a comprehensive resource for beginners. Overall it is a useful starting point for beginners who are new to data structures and algorithms and want to use Python as the programming language.

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David M. Mar 19, 2023

In this book, the author presented the concept of complex data structures and algorithms in a systematic way with clean examples that can be read and understood by readers and learners having various backgrounds, as for example CS, IT, Business or other quantitative and analytical fields. This book will be useful not only for developers, but also data scientists and data engineers as well.

Samuel de Zoete Jan 07, 2023

This book is covering most of the topics which were hard to grasp at the university due to over complicating the topics. Dr. Agarwal does a fantastic job to make topics like hashing, stacks, heaps, search, sorting algorithms accessible for everyone. A lot of the topics covered as python programmers we get for free, the complexity of sorting, searching, matching, etc are nicely covered in the applicable libraries. However, the moment you need to program these topics yourself, for sure you grab this book first!

Benjamin Helyer Aug 12, 2022

Currently reading through this book after being given an early review copy. For what I've read so far, it's looking like a great book for beginners to either Python or data structures and algorithms. Would highly recommend to someone who is familiar with one of those areas but not the other. I wouldn't necessarily recommend it for someone who is completely new to both, as it might ramp up too fast or may be missing details essential to a complete beginner.I'll update this review more once I've read it thoroughly and can give more thoughts.

Vinod Sangare Aug 16, 2022

One of the best reference book for Python to understand how implementing different data structures and algorithms intelligently can make code and applications more maintainable and efficientIt helps to explore functional and reactive implementations of traditional and advanced data structures.It teaches to apply a diverse range of algorithms in your Python code and implement the skills you have learned to maximize the performance of your applications.

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