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Hands-On Data Structures and Algorithms with Python
Hands-On Data Structures and Algorithms with 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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Profile Icon Dr. Basant Agarwal Profile Icon Benjamin Baka
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$19.99 per month
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (13 Ratings)
Paperback Oct 2018 398 pages 2nd Edition
eBook
$9.99 $35.99
Paperback
$43.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Dr. Basant Agarwal Profile Icon Benjamin Baka
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (13 Ratings)
Paperback Oct 2018 398 pages 2nd Edition
eBook
$9.99 $35.99
Paperback
$43.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$9.99 $35.99
Paperback
$43.99
Subscription
Free Trial
Renews at $19.99p/m

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Hands-On Data Structures and Algorithms with Python

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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.

Who is this book for?

This book is for developers who want to learn data structures and algorithms in Python to write complex and flexible programs. Basic Python programming knowledge is expected.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2018
Length: 398 pages
Edition : 2nd
Language : English
ISBN-13 : 9781788995573
Category :
Languages :

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Product Details

Publication date : Oct 31, 2018
Length: 398 pages
Edition : 2nd
Language : English
ISBN-13 : 9781788995573
Category :
Languages :

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Table of Contents

15 Chapters
Python Objects, Types, and Expressions Chevron down icon Chevron up icon
Python Data Types and Structures Chevron down icon Chevron up icon
Principles of Algorithm Design Chevron down icon Chevron up icon
Lists and Pointer Structures Chevron down icon Chevron up icon
Stacks and Queues Chevron down icon Chevron up icon
Trees Chevron down icon Chevron up icon
Hashing and Symbol Tables Chevron down icon Chevron up icon
Graphs and Other Algorithms Chevron down icon Chevron up icon
Searching Chevron down icon Chevron up icon
Sorting Chevron down icon Chevron up icon
Selection Algorithms Chevron down icon Chevron up icon
String Algorithms and Techniques Chevron down icon Chevron up icon
Design Techniques and Strategies Chevron down icon Chevron up icon
Implementations, Applications, and Tools Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(13 Ratings)
5 star 15.4%
4 star 30.8%
3 star 15.4%
2 star 15.4%
1 star 23.1%
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Top Reviews

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Readomatic Jun 07, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I like this data science book with Python.
Amazon Verified review Amazon
Mike Cross Nov 14, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Looking for clear, concise information, well presented, then this is for you.
Amazon Verified review Amazon
DT Nov 23, 2020
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
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.
Amazon Verified review Amazon
Vlad Bezden Jan 25, 2019
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
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.
Amazon Verified review Amazon
David A. May 26, 2019
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
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 ...
Amazon Verified review Amazon
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