My app Qubiter has a folder full of Jupyter notebooks (27 of them, in fact). Opening a notebook takes a short while, which is slightly annoying. I wanted to give Qubiter users the ability to peek inside all the notebooks at once, without having to open all of them. Qubiter’s new SUMMARY.ipynb notebook allows the user to do just that.

SUMMARY.ipynb scans the directory in which it lives to find all Jupyter notebooks (other than itself) in that directory. It then prints for every…

Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook?

There is an impedance mismatch between model development using Python and its Machine Learning tool stack and a scalable, reliable data platform. The former is what you need for quick and easy prototyping to build analytic models. The latter is what you need to use for data ingestion, preprocessing, model deployment and monitoring at scale. It…

Is not a secret that Data Science tools like Jupyter, Apache Zeppelin or the more recently launched …

From querying your data and visualizing it all in one place, to documenting your work and building interactive charts and dashboards, to running machine learning algorithms on top of your data and sharing the results with your team, there are very few limits to what one can do with the Jupyter + Redshift stack. However, setting everything up and resolving all the package dependencies can be a painful experience.

In this blog post I will walk…