semvec/pypi-packages huggingface dataset:
dtoolcore 3.19.0
Core API for managing (scientific) data

Manage scientific data sets
===========================

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- Documentation: http://dtoolcore.readthedocs.io
- GitHub: https://github.com/jic-dtool/dtoolcore
- PyPI: https://pypi.python.org/pypi/dtoolcore
- Free software: MIT License

Features
--------

- Core API for adding different types of metadata to files on disk
- Automatic generation of structural metadata
- Programmatic discovery and access of items in a dataset
- Structural metadata includes hash, size and modification time for
  subsequent integrity checks
- Ability to annotate individual files with arbitrary metadata
- Metadata stored on disk as plain text files, i.e. disk datasets
  generated using this API can be accessed without special tools
- Ability to create plugins for custom storage solutions
- Plugins for iRODS and Microsoft Azure storage backends available
- Cross-platform: Linux, Mac and Windows are all supported
- Works with Python 2.7, 3.5 and 3.6
- No external dependencies

Overview
--------

The dtoolcore project provides a Python API for managing (scientific) data.
It allows researchers to:

- Package data and metadata into a dataset
- Organise and backup datasets easily
- Find datasets of interest
- Verify the contents of datasets
- Discover and work with data programatically
tamandua 0.0.4
A tiny web scrapers collection.
Requires Python: >=3.11

# Tamandua

Assim como o bicho "aspira" formigas, estes códigos devem "aspirar" coisas da web.

## Instalar

Para instalar:

    pip install tamandua

Para atualizar:

    pip install --upgrade tamandua

## Rodar

```Python
from tamandua import Scraper
Scraper().deep_process_url('https://example.com/subfolder')
```

## PyPI

```
    python3 -m build
    twine upload dist/*
```