Best Coding Practices in Jupyterlab
2019-09-04, 16:30–16:45, Track 1 (Mitxelena)

Jupyter notebooks are often a mess. The code produced is working for one notebook, but it's hard to maintain or to re-use. In this talks I will present some best practices to make code more readable, better to maintain and re-usable.


Jupyter notebooks are often a mess. The code produced is working for one notebook, but it's hard to maintain or to re-use.
In this talks I will present some best practices to make code more readable, better to maintain and re-usable.

This will include:
- versioning best practices
- how to use submodules
- coding methods to avoid (e.g. closures)


Domains – General-purpose Python, Jupyter Project Homepage / Git Domain Expertise – some Python Skill Level – professional Project Homepage / Git Abstract as a tweet – Jupyter notebooks' code is often a mess. I will present some best practices how to code better in Jupyter.