semvec/pypi-packages huggingface dataset:
zarrify 0.0.8
Convert scientific image formats (TIFF, MRC, N5) to OME-Zarr
License: MIT
Requires Python: >=3.10
Keywords: zarr, ome-zarr, tiff, mrc, n5, scientific-imaging

# zarrify

Convert TIFF, MRC, and N5 files to OME-Zarr format.

## Install

```bash
pip install zarrify
```

## Usage

```bash
zarrify --src input.tiff --dest output.zarr --cluster local
```

## Python API

```python
import zarrify
from zarrify.utils.dask_utils import initialize_dask_client

client = initialize_dask_client("local")
zarrify.to_zarr("input.tiff", "output.zarr", client)
```

## Supported formats

- TIFF stacks
- 3D TIFF files
- MRC files  
- N5 containers
django-app-creator 1.0.0
Générateur de structure d'app Django personnalisée
License: MIT

# django-app-creator

`django-app-creator` est un outil en ligne de commande qui permet de générer rapidement une appliaction django de base avec un fichier urls.py

##  Fonctionnalités

- Crée automatiquement une application Django avec la structure suivante :
  - Un dossier `models/` contenant un fichier `__init__.py`
  - Un dossier `views/` contenant un fichier `__init__.py`
  - Un dossier `migrations/` contenant un fichier `__init__.py`
  - Un fichier `urls.py` prêt à l'emploi
  - Les fichiers standards : `admin.py`, `apps.py`, `tests.py`, `__init__.py`

##  Installation

Assurez-vous d’avoir Python 3 et `pip` installés, puis exécutez :

```bash
pip install django-app-creator

## Utilisation
django-create-app <nom_de_l_app>
sentify 1.0.2
Converter from urls,pdfs,wikipages to clean text document one sentence per line.
License: MIT

### sentify is a simple and fast open source Python toolkit that aggregates in one step the tedious task of fetching, converting to  text and segmenting  documents into one sentence per line clean text files


I put it together thinking that it is an often unavoidable "stepping stone"  for getting quickly to the really interesting NLP and AI tasks we care about these days.

The collected clean sentences are ready for NLP and ML tasks, including passing them to Generative AI  for summarization, relation extraction and QA.

It  handles local and remote txt and pdf files and urls as well as Wikipedia pages given by their title.

See code at 

https://github.com/ptarau/sentify/blob/main/sentify/main.py 

for the simple, all in one API.

Get it from [github](https://github.com/ptarau/sentify) or fetch it from [pypi](https://pypi.org/project/sentify/) with

```
pip3 install sentify
```

See tests/tests.py for testing out the API on several use cases.

Enjoy,

Paul Tarau

January, 2024