Publisher's Synopsis
Master data structures and algorithms with Python to write efficient, scalable, and optimal code that solves complex problems. Whether you're a beginner or experienced developer, this comprehensive guide will teach you the core principles and techniques behind data structures and algorithms while showing you how to implement them in Python.
Through hands-on examples, clear explanations, and practical exercises, you'll learn how to approach and solve algorithmic challenges effectively, ensuring your code is both efficient and optimal.
What you'll learn:
Master the essential data structures: arrays, linked lists, stacks, queues, trees, graphs, and hash tables
Implement advanced algorithms for sorting, searching, and graph traversal
Learn to optimize your code for better performance and lower memory usage
Understand time complexity and space complexity with Big-O notation
Solve real-world problems using greedy algorithms, dynamic programming, and divide and conquer
Learn recursion and how to apply it in solving problems efficiently
Implement searching algorithms (binary search, breadth-first search, depth-first search)
Build sorting algorithms (quick sort, merge sort, bubble sort)
Solve optimization problems using algorithms like Dijkstra's algorithm and the knapsack problem
Understand the theory behind algorithm design and problem-solving strategies
By the end of this book, you'll be equipped with the knowledge and tools to solve a wide variety of problems efficiently and write optimal code using Python.
Perfect for developers, computer science students, and anyone interested in mastering data structures and algorithms with Python.
