A convenience tool for small-scale data pipelines in Python
dpyp is a data-pipeline convenience tool containing functionality for reading and writing batches, cleaning data, diagnosing pipelines, manipulating text, and calculating fields in Python.
- dpyp consists of seven modules: 'calculate', 'clean', 'diagnose', 'read', 'text', 'write', and 'transform'.
- Designed for use in small-scale Python pipelines with an emphasis on batch-processing via 'data-dictionaries'.
- Batch processing of data via dictionaries allows iterative functions to improve readability and ease of use.
- Built using a combination of base Python and pandas for writing robust small-scale pipelines with text manipulation capabilities.
- pandas
- pyarrow
- numpy
pip install dpypSee LICENSE.md
See CONTRIBUTING.md