In the previous article on our introduction to algorithms, we spoke about algorithmic analysis. And in this article we will go in depth.

As a software developer, you will be dealing with strings quite regularly.

Python pandas is one of the most important tools to have in your toolbox as a Data Scientist.

I Will walk you through the array and strings interview questions that may be asked and how to approach these problems, I will do 3 and leave the rest as a challenge.

Due to COVID-19 Amazon and other FAANG companies have been practicing responsible interview processes. Technical interviews are now virtual, the good old whiteboard has been replaced with tools such as Google Docs, Livecode, Amazon Chime, and Google Meets.

We interact with our devices more than we do with our partners, they are our companions. We are manipulated and exploited by algorithms that run these devices, the algorithms are top employees to Big Tech companies! The companies are more interested in our data, this data is either sold off in aggregate to other companies or used to design predictive models and problem-solving models.

As the saying goes; “Data is the new oil” or is it?

This is one of the multiple articles that will be covering algorithms in detail. Developers struggle with these and I want to simplify them as much as possible, from basic to complex.

An array is a collection of similar, sequential data types stored in a central location.

Ever wondered what goes on behind the scenes of our favorite content streaming service?

At first look, the above picture looks like a tree data structure, which it is but we not discussing Trees today but the magic tool known as recursion.