Production Jupyter notebooks: A guide to managing dependencies, data, and secrets for reproducibility
Useful strategies for creating reproducible Jupyter notebooks.
Useful strategies for creating reproducible Jupyter notebooks.
Useful tips and tricks for visualizing data with Matplotlib, a popular Python library for creating high-quality plots and charts.
We explore the key features of popular Jupyter Notebook IDEs and highlight their use cases to help you choose the right IDE for your next notebook project
Jupyter Notebook: Common questions answered - Learn top tips for working efficiently with Jupyter Notebooks.
We show you 2 different ways to write comments & collaborate on Jupyter Notebooks on GitHub.
The definitive guide to GitHub’s Jupyter notebook rich diff feature.
GitHub recently launched notebook rich diffs but they don’t support interactive output widgets on notebooks. Here we take a look at the tools you can use to ...
GitHub introduced rich diffs for Jupyter Notebooks, but it does not render large notebooks. We show you how to render large rich diffs on GitHub.
GitHub recently launched notebook rich diffs but they don’t support commenting yet. We show you how to write comments on notebook rich diffs on GitHub.
Three tools to overcome the Notebook doesn’t render on GitHub problem.
This guide will help you choose a multi-user Jupyter platform for your team. We compare pros & cons of Sagemaker vs. JupyterHub vs. Vertex AI
We talk about nbdev, Jupytext, nbdime, and ReviewNB - 4 essential tools to streamline your Git-Jupyter workflow
YAML and Jupyter can play well together if you learn about these tricks and tools
Let’s compare two of the most popular notebook platforms Jupyter Notebooks & Google Colab.
The best code review experience for Data Science is now available for Bitbucket.
Do you want to store and work with Jupyter Notebooks on GitHub? Read our comprehensive guide on how to work with Jupyter Notebooks on GitHub.
Let’s explore ipywidgets - we’ll learn how to create interactive dashboards with them and how to share those with your team.
The best tools in the Jupyter ecosystem for sharing your works as python package, blog, analysis, report, or web app.
Jupyter has a wide ecosystem of tools which make it incredibly powerful. We take a look at select tools which can make your development experience much better
Are you wondering how others track changes in Jupyter Notebooks? We collected you many examples from open source projects.
There are JupyterLab extensions to help you version control notebooks with a graphical UI so you don’t need to worry about Git commands. Today, we’re going t...
In this blog, we’ll talk about plotting with Pandas dataframe, mpld3 & notebook backend magic function to help you plot more easily in Jupyter.
Having trouble managing your ad-hoc SQL analysis? Checkout how Jupyter Notebooks can help you build analysis & collaborate within your team.
More than 100,000+ notebooks have been reviewed on our platform by cutting edge data science teams from Amazon, Microsoft, Google, NASA JPL & many others.
Jupyter’s ease of use accompanied with its rich ecosystem makes it an indispensable weapon in the data scientist’s armory. Growing number of data science gro...
Git diffs for Jupyter Notebook are pretty hard to review & resolving merge conflicts is a source of pain. We’re going to look at the two tools that helps...
Starting today ReviewNB is completely free for educational purposes…
Let’s look at all the tools you can leverage to make notebooks play nicely with modern version control systems like git…
Today we’re releasing JDoc, a simple way for teams to review notebooks on GitHub …
There’s no easy way to version control notebooks from Jupyter UI. Of course you can drop down to command line & learn a bunch of git commands to version ...
This is a basic guide, if you’re already familiar with Git, check out our advanced Git ↔ Jupyter guide.
Reproducing the computational steps in your own or somebody else’s notebook is fraught with perils. Primarily because there’s no way to capture environment i...
While I love the interactivity of Jupyter notebooks, they lack an awful lot of good software engineering practices (listen to Joel Grus entertaining talk for...