What you would learn in Advanced Algorithms and Data Structures in Python course?
This course is designed for people interested in computing who are looking to implement techniques and information structures using Python. In each chapter, you'll be taught the principles behind the information structure or an algorithm and then create the algorithms entirely from beginning to finish.
Chapter 1. Binary Indexed Trees (Fenwick Trees)
The theory behind the binary index trees or Fenwick Tree data structure
how to utilize this data structure for artificial intelligence and computer vision
Implementation of Python Python
Chapter 2 LRU Caches
What are caches, as well as why are they vital?
how to utilize doubly linked lists to build caches
The theory behind LRU caches
Implementation of Python Python
Chapter 3 Splay Trees
Chapter 4 B-Trees
External memory and internal memory (RAM)
data structures that are used for memory that is external
trees that have multiple children and multiple keys
What are B-tree data structures?
Chapter 5 Prefix Trees (Tries)
What are tries and prefix trees?
Real-world applications of attempts
autocomplete feature that is a part of attempts
Sorting out with trying to
IP routing
Chapter 6 Ternary Search Trees
Chapter 7: Substring Search Algorithms
What do substring algorithms mean? How important are they in real-world software?
The substring search algorithm that uses brute force
Hashing and the methods of Rabin-Karp
The substring-search algorithm Knuth Morris-Pratt
Z substring algorithm for searching (Z algorithm)
Implementations in Python
Chapter 8: Topological Ordering
Chapter 9: Cycle Detection
Chapter 10: Components that are Strongly Connected (Tarjan's algorithm)
Chapter 11: Hamiltonian cycles (Travelling Salesman Problem)
Hamiltonian cycles on graphs
What is the underlying issue?
how to make use of backtracking to resolve the issue
meta-heuristic strategies to improve algorithms
Chapter 12: Eulerian Cycles (Chinese Postman Problem)
Course Content:
- Be able to comprehend algorithms.
- Develop your algorithms
- Learn to recognize and rectify inefficient code portions
- Know Fenwick trees
- Learn about caches (LRU caches as well as Splay Trees)
- Understand tries and ternary trees
- Know the substring-search algorithms (Rabin-Karp technique, KMP algorithm, and Z algorithm)
- Learn how to solve the Hamiltonian Cycle problem (and the problem of the traveling salesman)
- Learn to recognize Eulerian cycle issue
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