Python’s rich ecosystem of data science tools is a big draw for users. The only downside of such a broad and deep collection is that sometimes the best tools can get overlooked.
Here’s a rundown of some of the best newer or lesser-known data science projects available for Python. Some, like Polars, are getting more attention than before but still deserve wider notice. Others, like ConnectorX, are hidden gems.
ConnectorX
Most data sits in a database somewhere, but computation typically happens outside of a database. Getting data to and from the database for actual work can be a slowdown. ConnectorX loads data from databases into many common data-wrangling tools in Python, and it keeps things fast by minimizing the amount of work to be done.