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4.3
98 reviewsThis book covers a wide range of data structures, including arrays, stacks, queues, linked lists, skip lists, hash tables, binary search trees, Cartesian trees, B-trees, red-black trees, splay trees, AVL trees, and KD trees. It also covers a wide range of algorithms, including Quicksort, Mergesort, Timsort, Heapsort, bubble sort, insertion sort, selection sort, tree sort, shell sort, bucket sort, radix sort, counting sort, and cubesort.
In addition to learning about the various data structures and algorithms, you’ll also learn about algorithm design techniques such as greedy algorithms, dynamic programming, divide and conquer, backtracking, and randomized algorithms.
The book's content will include hands-on exercises and examples to help you practice and apply the concepts you learn. Through the book, you’ll be exposed to the Time and Space Complexity of the algorithm and Data Structures, so that you can understand the trade-offs of choosing one over the other.
By the end of this book, you’ll have a solid understanding of data structures and algorithms and how to use them effectively in Python. This book is perfect for anyone who wants to improve their skills as a developer or prepare for a career in computer science or data science.
Let's start your journey towards mastering data structures and algorithms with Python.
