Data Science

In a matter of days the next minor release of Python will be published. The Python 3.10.8 version will continue on delivering fixes and improvements on the road to the 3.11 version. Here is a list of the most important fixes that work is in progress that will soon improve…

Five lessons from the trenches of applied data science — Class imbalance, where one class is much more abundant than the other, is one of the most ubiquitous topics in data science literature. Searching for ‘class imbalance’ on Medium alone reveals numerous articles with titles such as: “Dealing With Class Imbalanced Datasets For Classification” “How to Effortlessly Handle Class Imbalance…

How to make your code look beautiful! — Documentation for any code is key. Most people will want to read your code to understand your methodologies and the operations you used to come to a solution. I definitely have come across spaghetti code (A bunch of functions with really no comments and just loosely thrown into a notebook)…

Automate filling in web forms with Python and Selenium. — Nowadays everyone wants to get some data from you, so to create a new account, participate in a giveaway or get a free e-book you need to fill in your information in a form. This isn’t a big deal if you do this only once, but things get tedious when…

These 5 core steps can be used to plan any data science project — If you’re anything like me, checklists and processes are your lifelines. Not only do they keep you organized but they also help you foresee and mitigate issues that could come down the pipe as a project progresses. Coming from a software development educational background, I knew the “software development lifecycle”…