Description
This tutorial explores how to extract the wealth of sports data available on the web through web scraping techniques using Python. It covers the basics of web scraping and demonstrates how to extract data from a sports website, The audience will learn how to leverage the power of Python for sports analytics.
Abstract
Python, as we all know, is a very vast language in the context of applicability. Sports analytics is not an exception to this. Sports Analytics is pivotal in the football world, as insights from this activity are used to drive decision-making during the football season. In this tutorial, we will use Python and its green ecosystem of libraries to extract the premier league table data from the internet. We would also be applying and learning some Python concepts such as Virtual Environments, Modularization, Object-oriented programming (OOP), Loops, Comprehensions, and data storage.
Audience level: Intermediate or Advanced