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

Algorithms and Data Structures in Python (INTERVIEW Q&A) Course includes 18 hrs video content and enrolled by 21.5K+ students and received a 4.4 average review out of 5. Now, you will get 94%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.

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

Section 1:

  • setting up the environment
  • differences between data structures and abstract data types

Section 2 – Arrays:

  • what is an array data structure
  • arrays related interview questions

Section 3 – Linked Lists:

  • linked list data structure and its implementation
  • doubly linked lists
  • linked lists related interview questions

Section 4 – Stacks and Queues:

  • stacks and queues
  • stack memory and heap memory
  • how the stack memory works exactly?
  • stacks and queues related interview questions

Section 5 – Binary Search Trees:

  • what are binary search trees
  • practical applications of binary search trees
  • problems with binary trees

Section 6 – Balanced Binary Trees (AVL Trees and Red-Black Trees):

  • why to use balanced binary search trees
  • AVL trees
  • red-black trees

Section 7 – Priority Queues and Heaps:

  • what are priority queues
  • what are heaps
  • heapsort algorithm overview

Section 8 – Hashing and Dictionaries:

  • associative arrays and dictionaries
  • how to achieve O(1) constant running time with hashing

Section 9 – Graph Traversal:

  • basic graph algorithms
  • breadth-first
  • depth-first search
  • stack memory visualization for DFS

Section 10 – Shortest Path problems (Dijkstra’s and Bellman-Ford Algorithms):

  • shortest path algorithms
  • Dijkstra’s algorithm
  • Bellman-Ford algorithm
  • how to detect arbitrage opportunities on the FOREX?

Section 11 – Spanning Trees (Kruskal’s and Prim’s Approaches):

  • what are spanning trees
  • what is the union-find data structure and how to use it
  • Kruskal’s algorithm theory and implementation as well
  • Prim’s algorithm

Section 12 – Sorting Algorithms

  • sorting algorithms
  • bubble sort, selection sort and insertion sort
  • quicksort and merge sort
  • non-comparison based sorting algorithms
  • counting sort and radix sort

Who this course is for:

  • Beginner Python developers curious about graphs, algorithms and data structures

Can I download Algorithms and Data Structures in Python (INTERVIEW Q&A) course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Algorithms and Data Structures in Python (INTERVIEW Q&A) course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
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