Name | data-tutorials JSON |
Version |
0.3.1
JSON |
| download |
home_page | None |
Summary | download data for tutorials |
upload_time | 2024-08-01 14:49:21 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.9 |
license | MIT License Copyright (c) 2024 data-driven materials and molecular science Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
keywords |
data
download
|
VCS |
![](/static/img/github-24-000000.png) |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# 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.
```python
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")
Raw data
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