Conquer the JavaScript Interview: Bubble Sort [Beginner Skill Level]

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Thank you to the sort videos at Timo Bingmann channel:

Your sorting videos lived in my head before I even learned how to code!

This is a part of my Algorithms and Data Structures playlist series. We cover a lot of common interview questions asked during whiteboards for entry level developers. Learning to master these takes time, practice, and pattern recognition. So I'll be helping you equip a toolbelt and filling it with as many tools as I can to help prepare you to crush those interviews! Remember: "Luck is where practice meets opportunity."

In this video, we're making waves with Bubble Sort. This algorithm, often seen as the quintessential introductory sorting method, gives us a solid foundation to start understanding sorting in a deeper sense. We start by introducing the Bubble Sort algorithm and discussing its mechanics, followed by stepping through an actual example.

Next, we get our hands dirty with some code, implementing the Bubble Sort algorithm in JavaScript, step by step. We make sure every line of code is thoroughly explained, giving you the confidence to code it out on your own.

Moving on, we dive into the complexity analysis of Bubble Sort. Here, we will break down its time and space complexity and explain the Big O notation for both. We also compare Bubble Sort to other sorting algorithms, discussing the pros and cons and where it fits in the grand scheme of things.

Lastly, even though Bubble Sort isn't the most efficient algorithm for larger data sets, we discuss why learning it is still very important. Understanding its mechanics will provide a solid foundation for learning more complex sorting algorithms.

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