Processing Agency Mortgage Data with Awk, Pandas and Django - Part 1: Static Data
This crash course illustrates how to process loan-level US Agency mortgage data using awk, pandas and django. The first part of the course focuses on static (acquisition) type attributes. The course is at a core technical level. It requires familiarity with command line tools (Ideally a linux environment) and Python. The repository includes various scripts used in the course.
Please Note: Replicating the data processing steps on an actual Fannie Mae dataset requires the Academy student to download such data themselves from the Data Dynamics website and abide with their terms and conditions.
| Introductory Level | Core Level | Advanced Level | |
| Non-Technical | |||
| Technical | CrashProgram PYT26065 |