Just as a note, this tutorial was written using Python 3.5 and built using Jupyter Notebook. Many of our other data science courses also use pandas. You can follow this up and learn more about Python and pandas in one of our many other Python tutorials, or by enrolling in our Python Pandas course. Which console is winning the “console wars” (in the sense of having better-reviewed games)? This data set will help us find out.Īs we analyze the video game reviews, we’ll learn about key pandas concepts like indexing. In this Python data science tutorial, we’ll use Pandas to analyze video game reviews from IGN, a popular video game review site, using data scraped by Eric Grinstein.
It builds on packages like NumPy and matplotlib to give you a single, convenient, place to do most of your data analysis and visualization work. Pandas makes importing, analyzing, and visualizing data much easier. Python’s pandas library is one of the things that makes Python a great programming language for data analysis.
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