Description: A seminar on Pandas, an open-source library built on top of NumPy that provides high-performance with easy-to-use data structures and data analysis tools for Python. Topics presented include A brief introduction to data visualization and the Pandas Library (Pandas objects, Data indexing and selection, Operating on data, Handling missing data, and Combining datasets - including concat, append, merge, and join). This seminar builds on the Introduction to Numerical Python (NumPy) – Numerical Arrays in Python seminar.
Presenter(s): Sheila McGee-Rosser, GDIT/PET
Location: Webcast
Date & Time: May 28, 2020, 2:00p - 3:30p ET
Course ID number for Global Search: TE1140w_Archive
technical_area: Programming Environments
