Description: This seminar is a continuation of Introduction to Pandas Data Analysis Library for Python - Part 1 and Part 2. Topics covered include merging data from different sources; cleaning up data with vectorized string operations; resampling, shifting, and windowing; chaining; using accessor methods; mapping; and reshaping DataFrames. Also included will be converting data types, more information on reading and writing files, debugging, scaling to large datasets, and a brief discussion of parallelization.
Presenter(s): Sheila McGee-Rosser, GDIT/PET
Location: Webcast
Date & Time: January 28, 2021, 2:00p - 3:30p ET
Prerequisites: Familiarity with Python, NumPy, and Pandas.
Distribution Statement D. Distribution authorized to the Department of Defense and U.S. DoD contractors only, Administrative or Operational Use, 28 January 2021. Other requests for this document shall be referred to the High Performance Computing Modernization Office, 3909 Halls Ferry Road, Vicksburg, MS 39180.
- Presenter: Sheila McGee-Rosser