Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7 , Second Edition

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Key benefits

Understand the analysis and design of fundamental Python data structures

Explore advanced Python concepts such as Big O notation and dynamic programming

Learn functional and reactive implementations of traditional data structures

Description

Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications. This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms.

What you will learn

Understand object representation, attribute binding, and data encapsulation

Gain a solid understanding of Python data structures using algorithms

Study algorithms using examples with pictorial representation

Learn complex algorithms through easy explanation, implementing Python

Build sophisticated and efficient data applications in Python

Understand common programming algorithms used in Python data science

Write efficient and robust code in Python 3.7

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Amazon verified reviews

Readomatic Jun 07, 2019

I like this data science book with Python.

Amazon Verified review

Mike Cross Nov 14, 2019

Looking for clear, concise information, well presented, then this is for you.

DT Nov 23, 2020

I just received the book. It looked fine initially, but once I opened it, the binding ripped, and the first page fell off. The binding is fragile and weak, so I don’t think the book will serve for a long time.I will make sure to update the content when I’m done with it.EDIT: I finished the book. It was something.First of all, the book has a problem with the code snippets. Some of them have basic syntax issues, like “import library assomething” (they forgot the space). Others are just indentation issues, like on page 135 (see for yourself through the “look inside” feature on Amazon). Truly makes me wonder if the reviewers really did read the book.The biggest issue for me was the complete absence of material on balanced trees. Instead, there are two paragraphs teasing you with information you might have had, like an explanation of AA treas and scapegoat trees, but no answer is provided at all. Check for yourself, page 174. I believe it would have been more useful to teach AA treas in the book about Data STRUCTURES & Algorithms rather than Data Visualization with matplotlib.Now, the good part is that it is a nice introduction, after all. I found the explanation of stacks & queues well-written and would have appreciated the material if I did not know that already. I would recommend this book as a first thing to read, but certainly not something to advance your knowledge base.

Vlad Bezden Jan 25, 2019

Good book if you need to refresh knowledge of DS and Algorithms. It doesn't go to the deep explanation. Good examples to learn from. The book says it uses Python 3.7, but I think there is nothing that can prevent run those examples on Python 3.x. Overall I like this book, but I would not recommend it if you are starting to learn DS.

David A. May 26, 2019

Hands-on is about as close as you can get to Sedgewick in Python. Now if it could only be expanded to be Numerical Recipes in Python ...

Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7 , Second Edition

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