semvec/pypi-packages huggingface dataset:
datatable-faker 0.1.7
Library to generate fake datatable for unittest
License: MIT
Requires Python: >=3.7
Keywords: faker,datatable-faker

datatable-faker
================

Library to generate fake datatable for unittest

.. image:: https://img.shields.io/pypi/v/datatable-faker
   :target: https://pypi.python.org/pypi/datatable-faker/

.. image:: https://github.com/Agent-Hellboy/datatable-faker/actions/workflows/python-publish.yml/badge.svg
    :target: https://github.com/Agent-Hellboy/datatable-faker/

.. image:: https://img.shields.io/pypi/pyversions/datatable-faker.svg
   :target: https://pypi.python.org/pypi/datatable-faker/

.. image:: https://img.shields.io/pypi/l/datatable-faker.svg
   :target: https://pypi.python.org/pypi/datatable-faker/

.. image:: https://pepy.tech/badge/datatable-faker
   :target: https://pepy.tech/project/datatable-faker

.. image:: https://img.shields.io/pypi/format/datatable-faker.svg
   :target: https://pypi.python.org/pypi/datatable-faker/


Installation
============

::

   for stable version
      - pip install datatable-faker

   for developement
      - git clone https://github.com/Agent-Hellboy/datatable-faker
      - cd datatable-faker
      - python -m venv .venv
      - source .venv/bin/activate
      

Example
=======

.. code:: py

    from dataclasses import dataclass

    @dataclass()
    class Heartbeat:
        serialNumber: str
        cbsdId: str
        grantId: str
        grantState: str
        carrier: int
        maxEirp: int

    from datatable_faker import generate_fake_data

    fake_data = generate_fake_data(Heartbeat)
    print(fake_data)
    
    Heartbeat(serialNumber='economic', cbsdId='pull', grantId='save', grantState='same', carrier=729, maxEirp=1792)

Contributing
============

Pull requests are welcome. For major changes, please open an issue first
to discuss what you would like to change.
slippers 0.6.2
Build reusable components in Django without writing a single line of Python.
License: MIT
Requires Python: >=3.8.0
Keywords: django,components

[![Slippers](https://mitchel.me/slippers/img/slippers.svg)](https://github.com/mixxorz/slippers)

---

[![PyPI version](https://badge.fury.io/py/slippers.svg)](https://badge.fury.io/py/slippers)
[![PyPI Supported Python Versions](https://img.shields.io/pypi/pyversions/slippers.svg)](https://pypi.python.org/pypi/slippers/)
[![PyPI Supported Django Versions](https://img.shields.io/pypi/djversions/slippers.svg)](https://docs.djangoproject.com/en/dev/releases/)
[![GitHub Actions (Code quality and tests)](https://github.com/mixxorz/slippers/workflows/Code%20quality%20and%20tests/badge.svg)](https://github.com/mixxorz/slippers)

Build reusable components in Django without writing a single line of Python.

```django
{% #quote %}
  {% quote_photo src="/project-hail-mary.jpg" %}

  {% #quote_text %}
    “I penetrated the outer cell membrane with a nanosyringe."
    "You poked it with a stick?"
    "No!" I said. "Well. Yes. But it was a scientific poke
    with a very scientific stick.”
  {% /quote_text %}

  {% #quote_attribution %}
    Andy Weir, Project Hail Mary
  {% /quote_attribution %}
{% /quote %}
```

## What is Slippers?

The Django Template Language is awesome. It's fast, rich in features, and overall pretty great to work with.

Slippers aims to augment DTL, adding just enough functionality to make building interfaces just that bit more _comfortable_.

It includes additional template tags and filters, but its headline feature is **reusable components**.

```django
{% #button variant="primary" %}See how it works{% /button %}
```

[See how it works](https://mitchel.me/slippers/docs/getting-started/)

## Installation

```
pip install slippers
```

Add it to your `INSTALLED_APPS`:

```python
INSTALLED_APPS = [
    ...
    'slippers',
    ...
]
```

## Documentation

Full documentation can be found on the [Slippers documentation site](https://mitchel.me/slippers/).

## Contributors

[![Contributors](https://contrib.rocks/image?repo=mixxorz/slippers)](https://github.com/mixxorz/slippers/graphs/contributors)

## License

MIT
paucode 0.4
funciones de ayuda en trabajo como economista
License: MIT
Keywords: example

# paucode

Escribir funciones para trabajos en economia


### Instalación
```PowerShell
pip install paucode
```

### Requerimeintos
para usar este paquete necesitamos tener instalado
- numpy
- matplotlib


```PowerShell
pip install numpy matplolib
```