Data Engineered with python
Access and manipulate data from various sources with python.
- Envisioned use cases:
- Data access and sharing with data defined as code.
- Data catologing and discovery.
- Data transfer and partitioning for distributed computing.
- Go from remote data sources to model training with simple and expressive python.
pip install d4data- Prefect Integration
- Pytorch Integration
- Free software: Apache Software License 2.0
- Documentation: https://d4data.readthedocs.io.
If you are interested in this project and would like to share your use cases, email me at: kevin.r.fortier@gmail.com