In this Nylon Calculus 101 post, Savvas Tjortjoglou introduces web scraping with Python to grab data for all draftees from the 1966 to 2014 NBA drafts.

My go-to language for web scraping is Python, as it has well-integrated libraries that can generally handle all of the functionality required. And sure enough, a Selenium library exists for Python.

To get us started, you will need to start a new Python3 project with and install Scrapy (a web scraping and web crawling library for Python). I’m using pipenv for this tutorial, but you can use ...

As one of the most popular, versatile, and beginner-friendly programming languages, Python can be used for a variety of tasks from analyzing data to building websites. This workshop explores how to ...