Daft Documentation
Contents
Daft Documentation#
Daft is a fast and scalable Python dataframe for complex data and machine learning workloads.
Note
Daft is currently in its Beta release phase - please expect bugs and rapid improvements to the project. We welcome user feedback/feature requests in our Discussions forums.
Installing Daft#
To install Daft, run this from your terminal:
pip install getdaft
Learn about other more advanced installation options in our Installation Guide.
Learning Daft#
Learn Daft with examples and tutorials. We cover common use-cases such as:
Read a CSV into a Daft dataframe
Work with images using the Pillow library in Daft
Downloading data from URLs
Use Daft#
Refer to the Daft API Documentation.
Keep up to date#
Keep up to date with the latest features and fixes in Daft with our Release Notes.
Compare Daft to alternatives#
Evaluating Daft for a new project or system? Read more about why you should choose Daft over alternatives such as Pandas, Modin and PySpark in our Dataframe Comparison.