As a multi paradigm language, Python has great support for functional programming. For better or for worse, leading data libraries such as Pandas eschew the this style for object-oriented programming. This tutorial will explain how to take advantage of Python’s excellent functional programming capabilities to efficiently obtain, clean, transform, and store data from disparate sources.
Using Functional Programming for efficient Data Processing and Analysis
Reuben Cummings delivered this 180 minute workshop at PyCon on May 17, 2017 in Portland, OR.
As a multi paradigm language, Python has great support for functional programming. For better or for worse, leading data libraries such as Pandas eschew the this style for object-oriented programming. This tutorial will explain how to take advantage of Python’s excellent functional programming capabilities to efficiently obtain, clean, transform, and store data from disparate sources.