In hopes of pursuing a career in Public Policy, I’ve spent the past year reorienting my programming towards Data Science. Naturally, doing so required significant practice finding, reading, visualizing and analyzing data.

As a woman in a male-dominated field, I started to feel more confident when I joined communities that connect women in computer science to each other.

We used Python to analyze how wealth, location and collegiate selectivity affect student outcomes and economic mobility.

A data science portfolio is a great way to showcase your skill set in lieu of work experience. This article will provide some tips to help jumpstart yours.

Learning to program tends to center around, well, programming. But developers spend most of their time on tasks that require a different set of skills.

Python is a more flexible and scalable tool for data analysis than spreadsheets. To prove it, we're analyzing the same Pokémon data with both and comparing.

Codecademy recently held our bi-annual internal hackathon. Now, we’re explaining what a hackathon actually is, and why you might want to take part in one.

When I walked into my first coding interview, I assumed I didn't have to understand data structures and algorithms. Oh, how I was wrong.

I used natural language processing and other machine learning techniques to analyze the discography of an artist with an intriguing history: Taylor Swift.

I made a machine learning model that gave me some insights into my favorite reality TV show, Survivor. Now, I'm explaining how I did it, step-by-step.

Artificial neural networks are interconnected groups of nodes, akin to the vast network of neurons in a brain. Let’s explore how they came into existence.

We're providing an in-depth comparison of two of the most popular code editors: Visual Studio and Sublime Text.