If you are not familiar with ReviewNB, you might want to check that out first. It’s a tool that lets your team review Jupyter Notebook changes & enables collaborative workflows with it.
Today, I’m excited to announce commenting feature for all the ReviewNB users. Here’s everything you can do with it,
Continue reading “How to review Jupyter Notebook changes?”
I’m excited to announce ReviewNB, a code review tool for Jupyter Notebooks.
Jupyter is great for data exploration but it’s hard to go beyond that & do any kind of collaborative work with it. Following challenges exist in using Jupyter Notebooks with modern version control system like Git,
- Notebook diffs are hard to read. Hence we can’t do code reviews on GitHub
- Merging in remote changes is hard due to JSON format of Notebook files (.ipynb)
- No easy way to share feedback & have a discussion around Notebooks
- It’s not easy to reproduce Notebook results
- It’s not easy to test notebook code cells
Continue reading “Introducing ReviewNB: Visual Diff for Jupyter Notebooks”
UPDATE: I built a tool to solve some of the challenges mentioned in the post. It’s now live at https://www.reviewnb.com/
A lot of people, including me, love Jupyter Notebooks. It’s a fantastic tool for data science. Today I’m not going to talk about it’s amazing capabilities but rather how it fails at two important things: Version Control and Reproducibility. I will also outline the current state-of-the-art to solve these problems. It’s a useful read if you are a Jupyter user. Let’s jump right in.
Continue reading “Challenges with Jupyter Notebook”