semvec/pypi-packages huggingface dataset:
complexoperations-iperoyg 0.1.4
Complex Operations Package
Requires Python: >=3.9

# devops-experiments
Este é um projeto de teste para fazer experimentações de DevOps no GitHub


*Author:* [Arthur Iperoyg](mailto:iperoyg@gmail.com)


## Basic instructions
- Utilize o arquivo de [ambiente conda](env.yml) para replicar o ambiente
    - `conda env create -n devops-experiments-env -f env.yml`
- *Prefira* modificar os arquivos de [ambiente conda](env.yml) ou de [requerimentos do pip](requirements.txt) para modificar/adicionar/remover bibliotecas ao **invés de operar diretamente nos ambientes**.
    - `conda env update -n devops-experiments-env -f env.yml`
- Para executar os testes, use *pytest*
    - `pytest`
- Para executar a verificação de lint, use o *flake*
    - `flake8 . --count --statistics`
    - `flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics`
- Para atualizar a documentação gerada automaticamente (dentro da pasta de [documentação](docs/)) utilize o pdoc
    - `pdoc src\complexoperations -o docs`
## Para contribuir
- Use sua imaginação
pz-qp-temp 0.6.2
Quantile parametrization of probability distribution functions

# qp

Quantile parametrization for probability distribution functions.

[![Build Status](https://travis-ci.org/aimalz/qp.svg?branch=master)](https://travis-ci.org/aimalz/qp)[![Documentation Status](http://readthedocs.org/projects/qp/badge/?version=latest)](http://qp.readthedocs.io/en/latest/?badge=latest)


## Motivation
This repository exists for two reasons.

1. To be the home of `qp`, a python package for handling probability distributions using various parametrizations, including a set of quantiles;
2. To help us learn best practices in software carpentry.

## Examples

* **[Basic Demo](http://htmlpreview.github.io/?https://github.com/LSSTDESC/qp/blob/master/docs/demo.html)** [(raw notebook)](https://github.com/LSSTDESC/qp/blob/master/nb/demo.ipynb)

* **[Practical Example](http://htmlpreview.github.io/?https://github.com/LSSTDESC/qp/blob/master/docs/demo.html)** [(raw notebook)](https://github.com/LSSTDESC/qp/blob/master/nb/demo.ipynb)

Also: [Read the Docs](http://qp.readthedocs.io/)


## People

* [Alex Malz](https://github.com/LSSTDESC/qp/issues/new?body=@aimalz) (NYU)
* [Phil Marshall](https://github.com/LSSTDESC/qp/issues/new?body=@drphilmarshall) (SLAC)
* [Eric Charles](https://github.com/LSSTDESC/qp/issues/new?body=@eacharles) (SLAC)
* [Sam Schmidt](https://github.com/LSSTDESC/qp/issues/new?body=@sschmidt) (UC Davis)

## License, Contributing etc

The code in this repo is available for re-use under the MIT license, which means that you can do whatever you like with it, just don't blame us. If you end up using any of the code or ideas you find here in your academic research, please cite us as `Malz et al, ApJ 156 1 35`. If you are interested in this project, please do drop us a line via the hyperlinked contact names above, or by [writing us an issue](https://github.com/aimalz/qp/issues/new). To get started contributing to the `qp` project, just fork the repo - pull requests are always welcome!
notabene-cli 0.0.5
The command line interface for interacting with notabene.
Requires Python: >=3.6

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Read the Docs](https://readthedocs.org/projects/notabene-cli/badge/?version=latest)](https://notabene-cli.readthedocs.io/en/latest/?badge=latest)
![Code Quality](https://github.com/JeroenPeterBos/notabene-cli/actions/workflows/code-quality.yaml/badge.svg)
![Platform Tests](https://github.com/JeroenPeterBos/notabene-cli/actions/workflows/platform-tests.yaml/badge.svg)
![Python Versions](https://img.shields.io/pypi/pyversions/notabene-cli)
![PyPI](https://img.shields.io/pypi/v/notabene-cli)

<p align="center">
    <img width="60%" src="https://raw.githubusercontent.com/JeroenPeterBos/notabene-cli/main/docs/_static/images/logo_wide.svg">

</p>

<p align="center">

Bring best practices from software engineering to your jupyter notebooks using [NotaBene](https://github.com/JeroenPeterBos/notabene-cli). 

</p>

Knowledge is best transfered when its presentation is familiar. Notabene enables you to standardize and simplify knowledge transfer on data insights.

* Homepage: https://notabene.cloud/
* Source Code: https://github.com/JeroenPeterBos/notabene-cli
* Documentation: https://notabene-cli.readthedocs.io
* PyPI: https://pypi.org/project/notabene-cli/

## Features

* Notebook Templates
    * Create and use your own library of notebook templates

## Getting Started

The project's documentation contains a section to help you
[get started](https://notabene-cli.readthedocs.io/en/latest/quickstart.html).

### Installation

Install [NotaBene](https://github.com/JeroenPeterBos/notabene-cli) using:

```
pip install notabene-cli
```

### Usage

Ensure you have a `pyproject.toml` file in the root of your project (can be empty).
Run on of the following commands to interact with the templates in your project.

```
notabene template create
notabene template list
notabene template use
```

For more information on how to get started **[visit the documentation](https://notabene-cli.readthedocs.io/en/latest)**.

## Development Prerequisites

If you're going to be working in the code (rather than just using the library), you'll want a few utilities.

* [GNU Make](https://www.gnu.org/software/make/)
* [Conda](https://docs.conda.io/en/latest/miniconda.html)

## Authors

* **Jeroen Peter Bos** - *Initial work* - [github](https://github.com/JeroenPeterBos)

See also the list of [contributors](https://github.com/JeroenPeterBos/notabene/contributors) who participated in this project.

## LicenseCopyright (c) Jeroen Peter Bos

All rights reserved.