semvec/pypi-packages huggingface dataset:
ds-my-snippets 0.0.4
Snipptes of DataScience: Pandsa and VizualGraph
Requires Python: >=3.6

# DS Snippets

Trechso de código úteis sobre DataScience

Autor: Rafael Morais de Assis

## Como criar nova versão

Criar pacote here
python setup.py sdist bdist_wheel

Instalar aqui e testar
pip install -e .

## Como atualizar o pacote

=> (mandar para o test-py)
twine upload --repository-url https://test.pypi.org/legacy/ dist/* 
=> mandar para Pypi (pip
python -m twine upload dist/*


## Como usar

Instalar com pip
+ Use `!` se estiver no colba/kaggle
````
!pip install ds-my-snippets
````

Chamando
````
import ds_my_snippets as ds
````

Trecho que funciona

````
import pandas as pd
import seaborn as sns
import ds_my_snippets as ds

iris = sns.load_dataset('iris')
iris = ds.reduce_mem_usage(iris)
````

Chamando todas as funções
````
dir(ds) # lista todas as funçôes do módulo
````
cdflow 272
Deployment tooling for continuous delivery
Keywords: continuous delivery terraform

[![tests](https://github.com/mergermarket/cdflow/actions/workflows/test.yml/badge.svg)](https://github.com/mergermarket/cdflow/actions/workflows/test.yml)
# cdflow - create and manage software services using continuous delivery

This repository contains the cdflow command that you can install on your system (e.g. on your dev machine or CI server) in order to release, deploy and (eventally) decommission software services with ease.

The code here is just a thin wrapper for the [cdflow docker image](https://github.com/mergermarket/cdflow-commands/) used to ensure you get the latest version when you release (with the option to pin should you need to) and that the image used remains consistent through your pipeline. 

Full documentation is here: https://mergermarket.github.io/cdflow/

## Install

```
pip install cdflow
```

## Running

If you are using the [cdflow wrapper command](https://github.com/mergermarket/cdflow/) mentioned above, you can get usage information by running:

```
$ cdflow --help

cdflow

Create and manage software services using continuous delivery.

Usage:
    cdflow release --platform-config <platform_config> <version> [options]
    cdflow deploy <environment> <version> [options]
    cdflow destroy <environment> [options]

Options:
    -c <component_name>, --component <component_name>
    -v, --verbose
    -p, --plan-only
```

## Tests

```
./test.sh
```