October 2018
Beginner to intermediate
398 pages
11h 1m
English
book
Hands-On Data Structures and Algorithms with Python - Second Edition
by Dr. Basant Agarwal, Benjamin Baka, David Julian
Overview
Dive into the fascinating world of Python and learn to master essential data structures and algorithms. In 'Hands-On Data Structures and Algorithms with Python', you'll explore how to utilize Python's capabilities to solve real-world problems efficiently. By showcasing intuitively designed examples and clear code implementations, this book helps you solidify your understanding of critical programming concepts.
What this Book will help me do
- Gain a deep understanding of key data structures in Python, such as linked lists, trees, and graphs.
- Learn to implement sorting and searching algorithms and understand their performance characteristics.
- Explore efficient coding practices like Big O notation and dynamic programming to optimize algorithms.
- Understand the concepts and applications of handling complex real-world data problems in Python.
- Improve readability and maintainability with Python code structuring and modular programming techniques.
Author(s)
Dr. Basant Agarwal possesses significant expertise in computer science, contributing both academic and professional insights into programming and algorithms. Benjamin Baka is a proficient software engineer with years of experience in Python programming and designing efficient software systems. They bring a balanced approach of theory and practical applications to their teaching, making complex concepts accessible and engaging.
Who is it for?
This book is crafted for Python developers keen on enhancing their understanding of data structures and algorithms. If you're a beginner with basic Python skills seeking to expand your coding expertise or an experienced programmer looking to refine algorithmic thinking, this book serves as an ideal resource. It bridges gaps in knowledge while providing hands-on demonstrations of real-world applications. 'Hands-On Data Structures and Algorithms with Python' empowers readers to tackle data-centric challenges with confidence.
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