Are you interested in gaining key insights in data management and manipulation using Python and Pandas? Then you’re in the right place! In this five-part series, our Data Scientist Andrea Giussani will guide you through the world of data, tackling a different aspect in each episode. This fifth and last episode will dive into how to make your code base more efficient with Pandas. Join this on-demand webinar to learn more about the eval, iterrows vs itertuples, and apply methods. This session is going to be amazing! If you are enjoying the series, sign up for episode number five.
You can follow along with the webinar by using either your favorite local Python or Google Colab environment. You can download the needed data from the following Github repo: https://github.com/cloudacademy/ca-pandas-webinars