DataFrame Improvements
- Mentors
- Larisa Safina, Cyril Ferlicot
- Organization
- Pharo Consortium
- Technologies
- smalltalk, pharo
- Topics
- visualization, machine learning, data science
This project aims at bridging the gap between popular DataFrames and the Pharo DataFrame. This can be done by adding more functionality to the Pharo DataFrame. The DataFrame API in Pharo will be improved by fixing existing features and adding new ones.
This project also aims to make the Pharo AI DataFrame Inspector interactive. This will be achieved by enabling users to perform operations such as editing, searching, sorting, etc., directly from within the DataFrame Inspector itself.