Monthly Archives: November 2020

The Story of MyCodeSchool: Tragedy, Triumph, and Two Friends Who Changed Programmer Education Forever

I first started learning to code in 2012. And there was one YouTube channel that all my friends used to learn algorithms and data structures: MyCodeSchool. Within minutes of watching MyCodeSchool, you could immediately tell that: These developers were really passionate about computer science. AndThey were exceptionally good at teaching

How to Explain Data Using Gaussian Distribution and Summary Statistics with Python

Once you understand the taxonomy of data, you should learn to apply a few essential foundational concepts that help describe the data using a set of statistical methods. Before we dive into data and its distribution, we should understand the difference between two very important keywords – sample and population.

Java Random Number Generator – How to Generate Integers With Math Random

Computer generated random numbers are divided into two categories: true random numbers and pseudo-random numbers. True random numbers are generated based on external factors. For example, generating randomness using surrounding noises. But generating such true random number is a time consuming task. Therefore, we can utilize pseudo-random numbers which are

Applied Data Analytics – How to Use Bayes’ Theorem and Other Concepts to Improve your Business

I have written about Data Analytics on freeCodeCamp before. In my previous posts I have provided examples and concepts tied to the foundations of data analytics. And I discussed how you can use the frameworks of this discipline to work across problem sets in multiple academic and professional domains. Given