The Django shell provides an environment where developers can interact with the database via Django's ORM. While the shell is great for basic interactions, it quickly becomes laborious to work in, be it due to manual imports, having to scroll through shell history to repeat commands, or working with / viewing queries returning more than, say, 20 records. These issues, and more, can be remedied by interacting with the ORM in Jupyter notebooks, using Pandas.

When creating a Postgres Database backup, one convenient approach is to export the database to disk via the pg_dump command. This postgres export file can then be picked up by ...

HIPAA’s HITECH rule is nothing if not complicated.  Simply finding a clear and unambiguous description of what must be done to protect your website is a significant research project in ...

There's been a healthy amount of discussion about how applications should handle settings. As the creator of Mingus pointed out, it's a weird situation. You want anyone to be able ...