Merge Sort Aglorithm

Merge Sort illustration

I mentioned in yesterday’s post that a lot of data manipulation involves lists, nested and otherwise. Another common task is sorting elements in a list. Day 6 of 30 Days of Algorithms is a Merge Sort, which is another “divide-and-conquer” algorithm.

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Array to Tree Algorithm

Array to tree algorithm illustration

Managing data almost always involves working with hierarchical or nested data. Whether we are talking about nested files and folders, product categories and sub-categories, music, … you name it. But we store data in a database in a flat structure. This makes sense because the data objects themselves share the same attributes and it makes for easy searching. But how we store the data and how we need to visualize and manipulate it don’t necessarily match. So how do we efficiently transform a flat array to a tree? Day 5 of 30 Days of Algorithms will present one solution with O(n) complexity.

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Bubble Sort Algorithm

Bubble Sort illustration

Our algorithm for Day 3 of 30 Days of Algorithms is a Bubble Sort. Bubble Sort is not an efficient sort algorithm (The Big-O notation for the time complexity is 0n2) but it is useful for learning. The basic premise is very simple : Start with the first two items in the list. If the first item (left) is higher than the second item (right), swap them.

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30 Days of Algorithms in JavaScript

algorithms illustration

I recently decided to re-enter the “real world” after freelancing for three years. My very first interview was at InVision. It did not go well, to say the least. The coding test focused on common algorithms in JavaScript, and I bombed. After receiving the polite rejection email, I asked the recruiter for feedback from the hiring team so I could improve.

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