Algorithms in Motion
Based on the best-selling Grokking Algorithms
Beau Carnes
  • Course duration: 4h 11m
    34 exercises

Good and simple to understand introduction to algorithms.

Boris Vasile, Team Lead, Garmin Cluj
See it. Do it. Learn it! Algorithms - established processes for solving computational problems-are the foundation of computer programming. Mastering the most important algorithms and learning to recognize where they should be applied are required skills for any developer. Algorithms in Motion introduces you to the world of algorithms and how to use them as effectively as possible through high-quality video-based lessons, real-world examples, and built-in exercises, so you can put what you learn into practice. Based on the best-selling book Grokking Algorithms, this liveVideo course brings classic algorithms to life!

About the subject

An algorithm is a repeatable procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. This engaging course makes it easy to learn and use the most important algorithms effectively.

About the video

Algorithms in Motion teaches you how to apply common algorithms to the practical problems you face every day as a programmer. Following the expert guidance of liveVideo instructor Beau Carnes, you'll start with the basics, including Big O notation, fundamental data structures, and recursion. Then, you'll explore problem-solving techniques, that will empower you to see the algorithm you need in the task you're trying to accomplish. Finally, you'll finish the course by applying more advanced algorithms, such as hash tables, graph algorithms, and K-nearest.

This liveVideo course is perfect paired with Aditya Bhargava’s Grokking Algorithms, bringing the classic algorithms inside to life.

Table of Contents detailed table of contents

Introduction to Algorithms


Binary Search

Big O Notation

Selection Sort

Arrays and Linked Lists

Selection Sort



The Stack


Divide and Conquer


Big O Notation Revisited

Hash Tables

Hash Functions

Use Cases



Breadth-first search

Graph introduction

Implementing the graph

Dijkstra’s algorithm

Working with Dijkstra’s algorithm

Trading for a piano

Implementing Dijkstra’s algorithm

Greedy Algorithms

Greedy Algorithm Examples

NP Complete Problems

Dynamic Programming

The Knapsack Problem

The Knapsack Problem FAQ

Longest Common Substring

K Nearest Neighbors

Classifying Oranges vs Grapefruits

Regression and Features

Introduction to Machine Learning

Where to Go Next


Inverted Indexes

The Fourier Transform

Parallel Algorithms


Bloom Filters and HyperLogLog

SHA Algorithms

Locality Sensitive Hashing

Diffie Hellman Key Exchange

Linear Programming



This easy-to-follow video course is perfect for self-taught programmers, engineers, or anyone who wants to brush up on classic algorithms.

What you will learn

  • Search, sort, and graph algorithms
  • Breadth-first search
  • Performance concerns
  • Implementing algorithms in Python

About the instructor

liveVideo instructor Beau Carnes is a software developer and a recognized authority in software instruction. Besides teaching in-person workshops and classes, he has also created around 100 software training videos that receive over 40K views per month. This includes a series on data structures and algorithms. Grokking Algorithms by Adit Bhargava is available at in pBook, eBook, and liveBook formats.

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Great way to quickly recap the most common algorithms.

Jonathan Wood, Software Consultant, Wintellect

Explains the fundamentals of some fairly complex computer science in a way that makes sense to anyone.

Derek Hampton, Senior Developer, Advanced Retail Ltd

A gentle introduction to the traditional computer science topics of data structures and algorithms in a way that is not intimidating to approach.

Ryan Burrows, Senior Software Developer, Rooster Park Consulting