Algorithms and Data Structures in Python

Algorithms and Data Structures in Python
A guide to implement the most up to date algorithms from scratch: arrays, linked lists, graph algorithms and sorting
Description

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:

Section 2:

Section 3:

Section 4:

Section 5:

Section 6:

Section 7:

Section 8:

Section 9:

Section 10:

Section 11:

In 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!

Who this course is for:
  • This course is suited for anyone who has some basic knowledge in Python

Suggest:

Python for Beginners: Become a Certified Python Developer

Introduction to Python for Beginners

The Python 3 Bible™ | Go from Beginner to Advanced in Python

Complete Python Bootcamp: Go from zero to hero in Python

Learn Python Through Exercises

The Python Bible™ | Everything You Need to Program in Python