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Overcoming 5 Hurdles to Using Jupyter Notebooks for Data Science, by the JetBrains Datalore Team


Speaker:: Alena Guzharina

Track: PyData: Jupyter Jupyter notebooks have pretty much become the standard for data science and data analysis teams. However, there’s still a number of pain points when it comes to working with them.

Today we’ll discuss setting up environments, getting data from data providers, writing code without IDE support, and sharing results, as well as collaboration and reproducibility. We’ll also explain how our team tackles these problems in Datalore.

Recorded at the PyConDE & PyData Berlin 2022 conference, April 11-13 2022. More details at the conference page: Twitter: Twitter:


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