Algorithms and Data Structures in Python - learn Data Structures
на канале: Phung Tung Lam
Link to this course(special discount)
https://www.udemy.com/course/algorith...
Algorithms and Data Structures in Python - learn Data Structures
What you will learn in this course ?
What you'll learnHave a good grasp of algorithmic thinkingBe able to develop your own algorithmsBe able to detect and correct inefficient code snippets
This course is about data structures and algorithms. We are going to implement the problems in Python. I highly recommend typing out these data structures and algorithms several times on your own in order to get a good grasp of it.Section 1:setting up the environmentdata structures and abstract data typesSection 2:what is an array data structurearrays related interview questionslinked list data structure and its implementationSection 3:stacks and queuesrelated interview questionsSection 4:what are binary search treespractical applications of binary search treesSection 5:problems with binary treesbalanced trees: AVL trees and red-black treesSection 6:what are heapsheapsort algorithmSection 7:associative arrays and dictionarieshow to achieve O(1) constant running time with hashingternary search trees as associative arraysSection 8:basic graph algorithmsbreadth-first and depth-first searchSection 9:shortest path algorithmsDijkstra's algroithmBellman-Ford algorithmSection 10:what are spanning treesKruskal algorithmSection 11:sorting algorithmsbubble sort, selection sort and insertion sortquicksort and merge sortnon-comparison based sorting algorithmscounting sort and radix sortIn the first part of the course we are going to learn about basic data structures such as linked lists, stacks, queues, binary search trees, heaps and some advanced ones such as AVL trees and red-black trees.. The second part will be about graph algorithms such as spanning trees, shortest path algorithms and graph traversing. We will try to optimize each data structure as much as possible.In each chapter I am going to talk about the theoretical background of each algorithm or data structure, then we are going to write the code step by step in Python.Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market. Research institutes use Python as a programming language in the main: there are a lot of library available for the public from machine learning to complex networks.Thanks for joining the course, let's get started!
this is the best Data Structures course. you can download and watch for free after enroll.