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Algorithms and Data Structures in Python - Part II
Algorithms and Data Structures in Python - Part II
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 929 MB
Duration: 3 hours | Genre: eLearning | Language: English

Fenwick trees, caches, prefix trees and substring-search algorithms implemented in Python

What you'll learn

Be able to develop your own algorithms

Requirements

Some theoretical background ( big O notation )

This course is for those who are interested in computer science and want to implement the algorithms and given data structures in Python.


What you'll learn
Have a good grasp of algorithmic thinking
Be able to develop your own algorithms
Be able to detect and correct inefficient code snippets
Requirements
Python basics
Some theoretical background ( big O notation )
Description
This course is for those who are interested in computer science and want to implement the algorithms and given data structures in Python. In every chapter you will learn about the theory of a given data structure or algorithm and then you will implement them from scratch.
Chapter 1: Binary Indexed Trees (Fenwick Trees)
theory behind the binary indexed tree or Fenwick tree data structure
how to use this data structure in computer vision and artificial intelligence
implementation in Python
Chapter 2: LRU Caches
what are caches and why are they so important
theory behind LRU caches
implementation in Python
Chapter 3: Prefix Trees (Tries)
what are tries or prefix trees
real world applications of tries
implementation in Python
Chapter 4: Substring Search Algorithms
what are substring search algorithms and why are they important in real world softwares
brute-force substring search algorithm
Boyer-Moore algortihm
Knuth-Morris-Pratt substring search algorithm
implementation in Python
Who is the target audience?
This course is suited for anyone who has some basic knowledge in Python
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Tags: algorithms, structures, python

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