data-tutorials
Simple utility to download data from a url into a folder. It is a simple helper for cases when one needs to download data in systems like google colab to do a tutorial for example.
from data_tutorials.data import get_data
get_data(url="https://raw.githubusercontent.com/ddmms/data-tutorials/main/data/", filename="LiFePO4_supercell.cif", folder="data")
Metadata
Release files for data-tutorials 0.3.3
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| data_tutorials-0.3.3.tar.gz | 6.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| data_tutorials-0.3.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.5 kB
Release files / data_tutorials-0.3.3.tar.gz
| Download URL | data_tutorials-0.3.3.tar.gz |
|---|---|
| Size | 6.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / data_tutorials-0.3.3-py3-none-any.whl
| Download URL | data_tutorials-0.3.3-py3-none-any.whl |
|---|---|
| Size | 4.6 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? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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