Practical Guide To Data Structures And Algorithms In Python
Unlock the power of Python with Practical Guide to Data Structures and Algorithms in Python! Written by expert Thompson Carter, this guide is designed to enhance your understanding and mastery of data structures and algorithms essential for developing efficient, scalable software.
Key Features:
- Foundational concepts like Big O notation.
- Advanced techniques, including dynamic programming and greedy algorithms.
- Covers various data structures such as arrays, stacks, queues, linked lists, hash tables, trees, graphs, tries, and segment trees.
- Detailed sections on sorting and searching algorithms.
- Contains practical coding exercises and real-world examples.
- Step-by-step solutions tailored for both beginners and professionals.
- Clear explanations accompanied by detailed Python code examples for building optimized software applications.