Using Functional Programming for efficient Data Processing and Analysis | Tutorials
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.
Reuben Cummings
Reuben Cummings is a data scientist and software developer skilled in business development, entrepreneurship, and programming. As Managing Director of Nerevu Development, he has worked with clients including the UN Humanitarian Data Exchange, Moringa School, and Africa’s Talking. Reuben specializes in data analysis, visualization, API development, and workflow automation.Reuben previously served in IT and business roles at social enterprise Global Cycle Solutions in Arusha, Tanzania; and as an analyst at MIDIOR Consulting in Cambridge, Massachusetts. He holds a degree in Chemical Engineering from the Massachusetts Institute of Technology, and is Lead Organizer of the Arusha Coders meetup in Tanzania.
Room 6
Wednesday, 17th May, 09:00 - 12:20