This Python program is titled “Algorithms and Data Structures in Python (INTERVIEW Q&A)” and can be taken as an all-in-one tutorial regarding data structures, algorithms, and graphs. Starting from the simplest type of an array and up to the complex binary search tree, each concept is discussed theoretically and shown with a practical example in Python. With the help of such practical tasks as role play, interview tips, and assessing the value of the same numbers, learners obtain the significant knowledge necessary for numerous uses.
Beginning with the environment configuration and the difference between the data structures and the abstract types, this Algorithms and Data Structures in Python (INTERVIEW Q&A) covers every array, link list, stack, and more. Other topics, such as binary search trees and priority queues, graph algorithmics, and the use of big O notation in their analysis, are also presented.
Thus, by the program's end, participants will learn Python programming and aspects of algorithms’ efficiency and optimization. Equipped with such knowledge, they can solve problems that confront today’s society across finance, AI, and research domains, through the application of Python, which adheres to timeless principles.
Algorithms and Data Structures in Python (INTERVIEW Q&A) Table of Contents:
- Immerse the learners in master arrays, linked lists, stack, queue, and tree structures like binary trees.
- Know basic knowledge about self-averaging trees, AVL and red-black trees, and the heaps.
- Become confident about hashing, hash tables, dictionaries, etc.
- State and explain the distinctions between data structures and abstract data types.
- Let you know graph traversing techniques such as BFS and DFS.
- Compulsory knowledge and understanding of other shortest-path algorithms, such as Dijkstra and Bellman-Ford.
- Explain minimum spanning trees, especially through the use of Prim’s algorithm.
- Get to know different categories of sorting algorithms.
- Learn to create your own algorithms and enhance your algorithmic skills.
- Be able to understand where inefficient code snippets are and how they can be fixed.
Who is this course for?
- Beginner Python developers
