fdf
File-system based Data Frame: manipulate self-explanatory dataset without writing codes.
Free software: MIT license
Documentation: https://fdf.readthedocs.io.
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2020-07-01)
First release on PyPI.
1 maintainer
Release files for fdf 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fdf-0.1.9.tar.gz | 9.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fdf-0.1.9-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 13.4 kB
Release files / fdf-0.1.9.tar.gz
| Download URL | fdf-0.1.9.tar.gz |
|---|---|
| Size | 9.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.0
|
Release files / fdf-0.1.9-py2.py3-none-any.whl
| Download URL | fdf-0.1.9-py2.py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.0
|
