Скачать или смотреть Advanced Algorithmics and Graph Theory with Python

Algorithmics and programming are fundamental skills for engineering students, data scientists and analysts, computer hobbyists or developers.

Learning how to program algorithms can be tedious if you aren’t given an opportunity to immediately practice what you learn. In this course, you won't just focus on theory or study a simple catalog of methods, procedures, and concepts. Instead, you’ll be given a challenge wherein you'll be asked to beat an algorithm we’ve written for you by coming up with your own clever solution.

We’ll go over data-structures, basic and advanced algorithms for graph theory, complexity/accuracy trade-offs, and even combinatorial game theory.
By the end of this course, you'll be able to:
express a computational problem (such as pathfinding) using graph theory
choose the appropriate algorithm to solve the given computational problem
code the algorithmic solution in python
evaluate the proposed solution in terms of its complexity (amount of resources, scalability) or performance (accuracy, latency)