Welcome to “Data Structures and Algorithms with Python”! This comprehensive course is designed to teach you the fundamental concepts of data structures and algorithms and how to implement them using Python. Whether you’re a beginner or an experienced programmer, this course will provide you with the knowledge and skills you need to become proficient in data structures and algorithms.

This course 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 course’s content will include hands-on exercises and examples to help you practice and apply the concepts you learn. Through the course, 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 course, you’ll have a solid understanding of data structures and algorithms and how to use them effectively in Python. This course is perfect for anyone who wants to improve their skills as a developer or prepare for a career in computer science or data science.

Start now to begin your journey towards mastering data structures and algorithms with Python.