Hands-On Data Structures and Algorithms with Python

Learn to implement complex data structures and algorithms using Python


Key Features

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


Book 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


Who this book is 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.