Algorithms and Data Structures in Python (INTERVIEW Q&A)

Bestseller | Created by Holczer Balazs

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This course is about data structures, algorithms and graphs. We are going to implement the problems in Python programming language. I highly recommend typing out these data structures and algorithms several times on your own in order to get a good grasp of it.

What you'll learn

• Understand arrays and linked lists
• Understand stacks and queues
• Understand tree like data structures (binary search trees)
• Understand balances trees (AVL trees and red-black trees)
• Understand heap data structures
• Understand hashing, hash tables and dictionaries
• Understand the differences between data structures and abstract data types
• Understand graph traversing (BFS and DFS)
• Understand shortest path algorithms such as Dijkstra's approach or Bellman-Ford method
• Understand minimum spanning trees (Prims's algorithm)
• Understand sorting algorithms
• Be able to develop your own algorithms
• Have a good grasp of algorithmic thinking
• Be able to detect and correct inefficient code snippets