Analyzing Data with Python & Docker

Explore a powerful combination of Python and Docker for data analysis in this 43-minute conference talk from EuroPython 2016. Discover how to build repeatable, robust data analysis workflows that can be used in various contexts. Learn about the core ideas behind Docker and its usefulness in data analysis. Gain insights into an open-source Python library called Rouster, which utilizes the Python Docker-API for analyzing data in containers. Examine interesting use cases in business intelligence, scientific data analysis, and interactive data exploration. Understand how Docker can alleviate common frustrations in data analysis by managing software, dependencies, data versions, and workflows. Get a glimpse into future directions and outlook for this versatile and robust system for analyzing data at both small and large scales.