ABOUT THIS EPISODE
In this episode we talk about different paradigms and approaches to algorithmic design: the Divide and Conquer Algorithm, the Greedy Algorithm, and the Dynamic Programming Algorithm, which remembers the subproblems that it has seen and solved before so as not to repeat doing the same thing over again. Based on Vaidehi Joshi's blog post, "Less Repetition, More Dynamic Programming".
We're on Patreon!
If you like the show and want to support our work, become a patron here. You'll get stickers, postcards, and even socks. Let's make computer science more accessible and fun!
Vaidehi Joshi (co-host)Vaidehi is a writer and an engineer at Tilde, where she works on Skylight. She's the creator of basecs, a weekly writing series that explores the fundamentals of computer science.
Saron Yitbarek (co-host)Saron is a developer, podcaster, founder of CodeNewbie, and host of the CodeNewbie Podcast.
CodeNewbieCodeNewbie is the most supportive community of programmers and people learning to code. They produce the CodeNewbie Podcast and the annual Codeland conference. Follow them on twitter @CodeNewbies. For more info, checkout www.codenewbie.org
