Recorded Date: November 7, 2019
Duration: 1 hour
Presenter(s): Mikhail Vladimirov, Director of Curriculum Architecture at WebAge Solutions Inc.

In this webinar, we’ll review the core capabilities of Python that enable developers to solve a variety of data engineering problems. We’ll also review NumPy and pandas libraries, with a focus on such topics as the need for understanding your data, selecting the right data types, improving performance of your applications, common data repairing techniques, and so on.