Use Notia to supercharge your models with the latest training data.
- Browse 100s of datasets from top companies and institutions.
- Directly integrates with Jupyter for easy sharing and distribution.
- Focus on the data science. Spend less time manually scraping and cleaning data.
- Reproduce any experiment without any Google Drive, Dropbox etc.
⚡️ Quick Install
To install notia, simply:
pip install notia
Usage
import notia
notia.login()
notia.search("Yelp")
train_df = notia.load_dataset("XXXXX", split="train")
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
1 maintainer
Release files for notia 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| notia-0.6.1.tar.gz | 21.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| notia-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.6 kB
Release files / notia-0.6.1.tar.gz
| Download URL | notia-0.6.1.tar.gz |
|---|---|
| Size | 21.4 kB |
| Tags | Source |
|
SHA-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 |
poetry/1.1.13 CPython/3.10.5 Linux/5.13.0-1029-azure
|
Release files / notia-0.6.1-py3-none-any.whl
| Download URL | notia-0.6.1-py3-none-any.whl |
|---|---|
| Size | 23.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.13 CPython/3.10.5 Linux/5.13.0-1029-azure
|
