Databases for lazy people, a Python library

Posted to Software  |  Tags: ,  |  Nathan Yau

Friedrich Lindenberg and Gregor Aisch recently released dataset, a Python library to take the grunt work out of using databases in Python.

Although managing data in relational database has plenty of benefits, they’re rarely used in day-to-day work with small to medium scale datasets. But why is that? Why do we see an awful lot of data stored in static files in CSV or JSON format, even though they are hard to query and update incrementally?

The answer is that programmers are lazy, and thus they tend to prefer the easiest solution they find. And in Python, a database isn’t the simplest solution for storing a bunch of structured data. This is what dataset is going to change!

So many times I start with a dataset, try to avoid the busy work in creating a database for a smallish project, and eventually dig up an old script or the most recent version of it. Saving this one for later.


Interactive: When Do Americans Leave For Work?

We don’t all start our work days at the same time, despite what morning rush hour might have you think.

Marrying Age

People get married at various ages, but there are definite trends that vary across demographic groups. What do these trends look like?

Shifting Incomes for American Jobs

For various occupations, the difference between the person who makes the most and the one who makes the least can be significant.

Where People Run in Major Cities

There are many exercise apps that allow you to keep track of your running, riding, and other activities. Record speed, …