Introduction

The Python programming language is a programming language that is filled to the absolute brim with amazing multi-paradigm features. This is great because it gives Python the flexibility to do a lot of different tasks. For example, if Python was a purely object-oriented programming language with no support for generic programming concepts, it likely would not be quite as popular in the world of Data Science. This is because Data Scientists typically desire a high-level declarative programming language where things can be defined in a global scope. Just imagine writing a main function for a Jupyter-Notebook. …

Introduction

Writing code can be a seriously difficult and challenging gig. This is especially the case when some problems are difficult to solve, and have multiple solutions. It is not always easy to keep your code in tip-top, perfect shape. This is especially the case when there are multiple solutions to one problem, some wrong and some correct. It is a well-remembered lesson when you heard your professor say “ do not ever do this.” To something that you had been doing the whole time you were programming.

That being said, while programming can be difficult, ultimately the concept of programming…

Introduction

There are many tools that a software engineer or data scientist might use in order to provide more expression to their code. There are many reasons that one might want to do this. For example, comments can be a valuable asset in a step-by-step process that needs to be taught. Comments can also provide valuable information that could be essential to working with certain code.

I think back to one example where I was having to dig through some Julia code because there was no documentation for it. I could not figure out how the input for something was meant…

Introduction

In the art of programming computers, there are many different approaches to getting the job done. The “ job” in this description is interacting between types, operations (methods), and data. Historically, this has been a pretty unique realm of experimentation when it comes to computer science. The reality is that there are a lot of methods and approaches, and some are certainly better for different tasks.

That being said, Julia — for my applications, typically blows the typical look one might take at a paradigm completely out of the water. …

C Crash Course

Introduction

Likely one of the most important programming languages ever created for the history of computing is the C programming language. This language really changed the world of computers for the better in so many ways, and still plays a vital role in the world of computing today. No matter what system you are currently reading this article on, unless you printed this out for some reason, you are using C code as we speak. That being said, it is easy to understand why learning the C language could be beneficial towards your domain if you do work in any technological…

Introduction

In the wonderful world of programming and Data Science, it is quite common to be pushed to the absolute brink of insanity. As much as we all might love software engineering, there is certainly no denying that it can be tedious. Whether it is because of deadlines, hard software, technical problems, bugs, or even personal goals, this can be very stressful. Not only can this stress lead to a worse state of mental health, which is a very important aspect of people’s personal lives, but also to worse programming.

Many programmers are surprised to hear that lacking rest and a…

Introduction

Back in May, I took a look at a distribution function that belongs to most statistical distributions called the Probability Density Function, or PDF. The PDF is a very important part of statistical inference, likewise, so is its function brother, the Cumulative Distribution Function, or CDF. If you would like to learn more about PDFs before CDFs, you may read the article I wrote about them here:

I would highly suggest having a decent understanding of the PDF and what it is used for before every even attempting the CDF. This is because CDFs are often far more complicated then…

Introduction

While most Data Scientist’s favorite language to work in is likely Python, or less-likely, R, my favorite programming language — period — is Julia. The Julia language is a rather young, Just-In-Time (JIT)- compiled programming language that centers its paradigm around the generic programming concept multiple dispatch. Not only do they use this generic, they apply it everywhere in the language with simply amazing results. If you would like to read an entire article I wrote about Julia and the genius multiple dispatch usage that is in the language, you may view this one here:

A couple of days ago…