Description:

Description

“Tradition is not to preserve the ashes, but to pass on the flame”. Running Python coding workshops in areas with unreliable internet access and with outdated hardware among the participants present a challenge for capacity building and knowledge sharing. Jupyterhub run in a local area network can bridge this gap and therefore make your workshops more resilient.

Contents

The talk will demonstrate how to set up and run a workshop successfully in an environment without internet access and the absence of uptodate hardware on real-life projects using Python, PySpark and Jupyterhub. Contentwise the session focuses on data science and the preprocessing of mobile phone metadata in order to extract features. The talk will include time for Q&A.

Take aways

• What are the challenges running a coding workshop in adverse environments?
• How to set up a Jupyterhub in a local area network?

Prerequisites:

Interest in spreading your own knowledge to people beyond the usual suspects.

Speaker Info:

We are a young university spinoff project of the department of statistics of the Freie Universität Berlin, Germany called ‘knuper’. We work with governments around the world by augmenting official statistics with mobile phone metadata and other big data sources.