mPyPl -- Official Site
Monadic Pipeline Library for Python
This library was created by a team of enthusiastic software developers / data scientists at Microsoft, who wanted to simplify tasks of data processing and creating complex data pipelines. The library is inspired by the following main ideas:
- Using functional approach to data processing (which implies immutability, lazy evaluation, etc.)
- Using pipe module in Python to achieve data pipelines similar to F#.
- Data pipeline uses dictionaries with different fields as base type, new operations would typically enrich data and add
new fields by using
applyfunction. Those dictionaries are similar to monads, andapplyis similar to lift operation on monads. Thus the naming of the library.
Tutorial
You can watch demo video, this 3 min intro, or read project wiki.
Credits
Principal developers of mPyPl:
1 maintainer
Metadata
1 maintainer
Release files for mPyPl 0.0.3.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mPyPl-0.0.3.9.tar.gz | 24.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mPyPl-0.0.3.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.6 kB
Release files / mPyPl-0.0.3.9.tar.gz
| Download URL | mPyPl-0.0.3.9.tar.gz |
|---|---|
| Size | 24.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.9.12
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Release files / mPyPl-0.0.3.9-py3-none-any.whl
| Download URL | mPyPl-0.0.3.9-py3-none-any.whl |
|---|---|
| Size | 29.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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