Jupyter is a web based platform that allows you to create documents that contain executable code along with text, equations, images and visualizations.
This has become a very popular communications medium for people who have to work with code but are ultimately creating artifacts consumed by other people and not computer. This is especially popular in data science and analytics related areas where there's both a substantial presentation component and a substantial code component to the work.
Run into the issue where Altair won't plot inline in your Jupyter notebooks? Here's a reason why it happens and how to fix it.Published on April 11th, 2019 by Janis Lesinskis.
When using Jupyter notebooks have you found the styling of code cells to be too visually similar to Raw NBConvert cells? We found the similarities in formatting made it visually harder to see when a cell was set to the wrong cell type when we were running workshops and editing our own data science notebooks. Here's how we changed it.Published on March 27th, 2019 by Janis Lesinskis.
Have you ever found the autocompletion of certain characters like brackets or quotes to be an annoyance in Jupyter? If so here's how to change the configuration to disable this.Published on March 24th, 2019 by Janis Lesinskis.
One thing you may want to do is to capture all of the standard output stream from a cell in a Jupyter notebook. You might also not want to change your code, here's how you can do that...Published on March 9th, 2019 by Janis Lesinskis.