Master Python data structures with practical examples and exercises. Boost your coding skills through concise explanations and real-world tasks.

Key Features

Comprehensive guide to Python data structures

Hands-on tasks and real-world examples

Clear and concise explanations

Book Description

This Pocket Primer book introduces the fundamentals of data structures using Python. It provides a comprehensive yet fast-paced introduction to core Python concepts and data structures, emphasizing their importance in managing large datasets and implementing search and sort algorithms effectively. The course starts with a basic introduction to Python, setting a solid foundation for more complex topics. The journey continues with an exploration of recursion and combinatorics, followed by detailed discussions on strings, arrays, and various search and sort algorithms. Further, the book delves into linked lists, queues, and stacks, illustrating their practical applications with numerous code samples. This structured approach ensures that learners can progressively build their knowledge and skills in data structures, reinforced by hands-on coding examples. With companion files available for download, the book provides additional resources for practice and deeper understanding. This comprehensive guide is ideal for both beginners and those looking to strengthen their grasp of data structures in Python, equipping them with essential tools for managing and manipulating large datasets.

What you will learn

Understand Python's basic data types

Implement recursion and combinatorics

Manipulate strings and arrays

Perform search and sort algorithms

Manage linked lists efficiently

Work with queues and stacks

Who this book is for

Beginners and intermediate Python programmers looking to deepen their understanding of data structures will benefit from this book. Prior knowledge of Python basics is recommended. No advanced prerequisites are needed.