Show notes
In this episode of Running in Production, Nate Rush goes over building aJupyterLab extension with Python. It runs locally in a Jupyter Notebook butthey also host JupyterHub instances on a Kubernetes cluster running in EKS.Itβs been running in production since late 2020.Nate talks about building a cross platform Python installer, building andpublishing a JupyterLab extension, leveraging Pandas, building the front-endwith React / Typescript, hosting a version of their product on a Kubernetescluster, the value in automating the hard stuff and more.Topics Include 1:06:34 β Check out https://trymito.ioLinksπ References http://paulgraham.com/ds.html https://docs.anaconda.com/anaconda/navigator/ https://jupyter.org/hub The Phoenix Project bookβοΈ Tech Stack jupyter → python → react → aws → kubernetes → webpack → github-actions → s3 → route53 → segment → mixpanel → π Libraries Used https://pandas.pydata.org/ https://github.com/pytest-dev/pytest https://github.com/DevExpress/testcafe https://www.ag-grid.com/ https://velero.io/Support the ShowThis episode does not have a sponsor and this podcast is a labor of love. If you want to support the show, the best way to do it is to purchase one of my courses or suggest one to a friend. Dive into Docker is a video course that takes you from not knowing what Docker isto being able to confidently use Docker and Docker Compose for your own apps.Long gone are the days of "but it works on my machine!". A bunch of followalong labs are included. Build a SAAS App with Flask is a video course where we build a realworld SAAS app that accepts payments, has a custom admin, includes high testcoverage and goes over how to implement and apply 50+ common web app features.There's over 20+ hours of video.

