Programming

Made with Midjourney Let’s face it; no matter what our job is, sooner or later, we will have to deal with repetitive tasks like updating a daily report in Excel. Things could get worse if you work for a company that doesn’t work with Python because you wouldn’t be able to solve this problem by […]

Credit: Wikimedia Commons Hi! Here’s another reminder about the special 25% Substack discount for the annual plan. Click ​here​ to get an annual subscription to my Substack (by the way, annual subscribers can redeem up to 2 of my Udemy courses for free) The discount ends in two days. In a previous article, we learned

According to Forbes, data scientists and analysts spend 60% of their time on cleaning and organizing data. This shows how important data cleaning and data wrangling are in a project. Data cleaning consists in cleaning the data we’ll use, so we don’t have incorrect, corrupted, duplicate, or incomplete data. Real-world data isn’t as clean as

One common task data analysts have to deal with when collecting and cleaning data is working with strings. This involves formatting as well as joining strings (also known as string concatenation). Joining strings in Python   is as simple as using the plus operator +. You’ve probably used the code below hundreds of times to join

Here’s the second part of web scraping with Python. In this tutorial, we’ll learn how to web scrape with Selenium. In part 1, I mentioned that there was missing data and that we would scrape it with Selenium in part 2, but I checked again and there isn’t missing data thanks to some changes to

Hi! I prepared two tutorials to help you get started with Beautiful Soup and Selenium. In these tutorials, we’ll scrape a simple website from scratch so that you see with your own eyes what are the differences between these two libraries. In this article, we’ll extract football data from all the FIFA World Cups played