Data sciencefromTalkpython1 month ago10 Polars Tools and Techniques To Level Up Your Data SciencePolars offers numerous advantages over Pandas, especially when enhanced with tailored libraries.
fromPeterbe2 months agoA Python dict that can report which keys you did not use - Peterbe.comFor testing large Python objects, ensure you're unit testing everything retrieved, especially when data in reports doesn't match the database query.Django
PythonfromPycoders2 months agoPyCoder's Weekly | Issue #685Polars data validation libraries are essential for modern data management in Python.
fromHackernoon1 year agoMaking AI-Powered Mutation Testing Reliable and Fair | HackerNoonThe study addresses the validity threats in mutation testing with LLMs through careful dataset selection and evaluation methodologies.