Textbook in PDF format

"Python-Based Data Structures and Algorithms" is a comprehensive guide to mastering the fundamental concepts of algorithms and data structures using the Python programming language. Covering a wide spectrum, from algorithm analysis and problem complexity to computational complexity, this book equips readers with the essential skills for effective programming. Whether you're a novice or an experienced developer, this resource provides practical insights into implementing algorithms and data structures in Python. With a focus on clarity and efficiency, it's an invaluable reference for anyone looking to enhance their programming proficiency and tackle real-world challenges in algorithmic problem-solving.
In today's technology-driven world, algorithms and data structures are the building blocks of almost every software application. They play a crucial role in tasks ranging from managing large datasets to optimizing computational processes. This book will equip you with the essential understanding and expertise to tackle a wide range of challenges in the field of Computer Science.
Our journey begins with a solid foundation in Python, a programming language renowned for its simplicity and readability. You'll then delve into the core principles of data structures, exploring concepts like arrays, linked lists, stacks, and queues. Understanding these fundamental structures is essential for building efficient algorithms.
Next, we'll explore various algorithmic techniques that will empower you to solve real-world problems. Whether it's sorting, searching, or graph algorithms, you'll have a comprehensive understanding of how to approach and implement solutions using Python.
Throughout this book, you'll gain insights into computational complexity, which is crucial for evaluating the efficiency of algorithms. We'll discuss both time and space complexities and help you analyze the performance of your code.
No matter if you're a student, a professional developer, or someone eager to dive into the world of algorithms and data structures, this book is designed to be your companion in your journey to becoming a proficient problem solver. With Python as your programming language of choice, you'll have a powerful and versatile tool to tackle challenges in the field of Computer Science.
Python Programming 101
Computational Complexity
Recursion
Sequences
Sets and Maps
Trees
Graphs
Membership Structures
Heaps
Balanced Binary Search Trees
B-Trees
Heuristic Search
Appendix A: Integer Operators
Appendix B: Float Operators
Appendix C: String Operators and Methods
Appendix D: List Operators and Methods
Appendix E: Dictionary Operators and Methods
Appendix F: Turtle Methods
Appendix G: TurtleScreen Methods
Appendix H: Complete Programs