kh-data-science
Functions for use within KisanHub’s data science environments
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2018-10-03)
First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for kh-data-science 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kh_data_science-0.1.4.tar.gz | 9.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kh_data_science-0.1.4-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 15.1 kB
Release files / kh_data_science-0.1.4.tar.gz
| Download URL | kh_data_science-0.1.4.tar.gz |
|---|---|
| Size | 9.5 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.5
|
Release files / kh_data_science-0.1.4-py2.py3-none-any.whl
| Download URL | kh_data_science-0.1.4-py2.py3-none-any.whl |
|---|---|
| Size | 5.6 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/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.5
|
