Description:

While Jupyter notebooks are a great approach to literate programming, as a programmer, I often prefer familarity and control of my development environment: Enter Emacs Org Mode.

Emacs is my preferred tool for almost everything, including programming and writing. Org Mode in Emacs follows Emacs' plain-text approach so it's easy to diff changes to my writing. It's also not a browser, but a very familiar programming environment which can be customized to my liking.

In this talk practical steps are given for how Emacs Org Mode can be used to replace programming Python in Jupyter notebooks.

Tentative agenda:

• Intro and motivation for going from Jupyter notebooks to Emacs Org mode [5m]
• Running Python in Org mode files [8m]
• Running Python for data science in Org mode files [7m]
• Exporting options / writing papers [5m]
• QA [5m]

Prerequisites:

No knowledge beyond basic Python is required, but knowledge of using Python for DataScience within Jupyter may be helpful.

Content URLs:

Presentation link: TBA Demo repository: TBA

Speaker Info:

Soren is a developer at Bankdata, which provides IT for some of the largest banks in Denmark. He has been working for years with Python, today mostly applied to operations and governance of Kubernetes clusters in the highly regulated banking industry. He is at heart an analyst and loves a good data science task.

Speaker Links:

https://bankdata.dk https://github.com/sorend