Guide To Algorithms in Javascript [Binary Search] - Full Course / Tutorial

Pubblicato il: 07 maggio 2020
sul canale di: Scrimba

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The Working Developer's Guide To Algorithms with Jonathan Lee Martin

💻 Full interactive course on Scrimba: https://rebrand.ly/galgorithmsguide

This course explores the delightful intersection of algorithms and software design. It levels up your craftsmanship by coding six different binary search algorithm. Each algorithm solution will improve your skills as a software developer, as the concepts you'll learn are applicable well outside the scope of binary search.

The course is focused on "learning by doing". The instructor Jonathan strongly believes that the real learning happens when you - the learner - write the code. So instead of him writing it for you, he'll challenge you to do it first. This is hard, and you'll struggle. But for every minute you struggle with the problem, you'll learn ten times more than you would be if you only listened to Jonathan explain it to you. So make sure you try to solve the problems before you watch Jonathans solutions.

You should have a good grasp of JavaScript before taking this course, so it's recommended that you already work as a developer, or are a bootcamp graduate. If you've got a degree in computer science, you've probably already learned most of the concepts in the course. But, of course: feel free to take the course to solidify your skills.

Coming soon: The Algorithms Bootcamp

If you enjoyed this course, please click here to join the waitlist for the upcoming Algorithms bootcamp

https://rebrand.ly/algorithmsbootcamp

It will take a much deeper dive into algorithms than this course. Joining the waitlist will ensure that you get it for the best price possible.

📝 Get in touch with Jonathan:
https://jonathanleemartin.com/

⚡ Contents ⚡
00:00:00 - Course Overview
00:07:07 - Binary Search
00:15:35 - Imperative
00:24:00 - Recursion
00:31:44 - Tail Recursion
00:37:33 - Array Splitting
00:44:10 - Array View
00:52:14 - Array Partition
00:59:16 - Wrap Up

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