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Sharing Reproducible Python Environments with Binder

Offered By: EuroPython Conference via YouTube

Tags

EuroPython Courses Data Science Courses Docker Courses Jupyter Notebooks Courses Computational Analysis Courses

Course Description

Overview

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Explore the world of reproducible Python environments in this 28-minute EuroPython 2020 conference talk. Discover how Project Binder integrates Jupyter Notebooks and Docker to generate reproducible computational analyses with a user-friendly web interface. Learn about the growing importance of packaging code, data, and computational environments in data science and research. Understand how Binder simplifies the process of sharing reproducible analyses by providing a unique URL to code repositories, without requiring extensive knowledge of underlying technologies. Gain insights into Binder (the service), BinderHub (the infrastructure), and mybinder.org (a public Binder instance), and see a demonstration of how to effectively share Python environments and analyses using these tools.

Syllabus

Sarah Gibson - Sharing Reproducible Python Environments with Binder


Taught by

EuroPython Conference

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