Become a Python Expert: Comprehensive Course Covering Fundamentals, Advanced Techniques & Practical Success Strategies

What you'll learn
Overview of algorithms and their applications
Basic Python programming refresher
Operations on lists and tuples
Use cases and applications
Applications of stacks (e.g., backtracking, browser history)
Introduction to queues and types (FIFO, priority queues)
Implementing linked lists in Python
Binary trees, binary search trees, AVL trees
Basics of graph theory and types of graphs
Applications of hash tables
Bubble sort, selection sort, insertion sort
Merge sort, quicksort, heap sort
Implementing linear and binary search algorithms
Principles of dynamic programming
Heaps, tries, and segment trees
Implementing and using advanced data structures

Requirements
No prior programming experience is required.

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