El uso de ambientes virtuales permite isolar las dependencias del proyecto de otras instaladas en las carpetas de sistemas. Cada .venv
contiene su propia version de los binarios de Python y sus dependencias. A continuación una simple demostración de como se podria organizar venv para compartir el proyecto de forma efectiva.
Tag: datascience
A couple of years ago I created a Spotify’s playlist where I add all tracks I liked, just as the main repository of things I’d like to listen to, no matter the mood I was when I added that song. As time goes, this playlist became less enjoyable to listen due to the change in rhythm - From listen to a Metal song it jumps to Bossa Nova, which is very annoying. This post contains a few data science approaches I applied to organize this playlist and what worked and what didn’t.
If you never heard about Jupyter Notebook, I highly recommend you to check it out. It have been my primary platform to build reports and data driven case studies. On this post I’d like to show how I create a simple and isolated environment with a Bash script and Docker to run JupyterLab.
Recently Jupyter Notebook received a major overhauling and become JupyterLab - currently in beta, but the new platform looks fresh and very powerful.