Datafusion Comet was released, making it easier and faster to use Apache Spark for data processing, which is great for improving performance.
Several major data tools like Datafusion, Arrow, and Dask updated their versions, showing ongoing improvements in speed, efficiency, and new features.
New dashboard solutions like Panel and updates in libraries such as CUDF reflect the growing interest in making data access and visualization easier for users.
A new free book called 'How Data Platforms Work' is being created for Python developers. It will explain the inner workings of data platforms in simple terms, with one chapter released each month.
The Ibis library has removed the Pandas backend and now uses DuckDB, which is faster and has fewer dependencies. This change is expected to improve performance and usability.
Several popular libraries in Python, such as GreatTables and Shiny, have released updates with new features and improvements, focusing on better usability and integration with modern technologies.