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.
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