Making Data Science Notebook Collaborative || Jan Matas

Jupyter notebook is now one of the most popular tools for data scientists, even though it is fairly difficult to work with it in a team setting. In this talk, we will first explore how notebooks work under the hood, then we will discuss how we can build collaboration features to enable real-time editing (like google docs) and finally we will address some security challenges inherent to having collaborative data science tools in the cloud. *** Zeet helps anyone deploy and scale like the top tech companies, without the work. Try Zeet to deploy any Github or Dockerhub project today: https://zeet.co?a=codingtech​​ *** PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. Credits: PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w https://www.youtube.com/watch?v=8v2vTpRS-V4