semvec/pypi-packages huggingface dataset:
fluxo-core 0.5.0
Simple data flow with execution in separate threads and easy scheduling configuration.
License: MIT
Requires Python: >=3.11
Keywords: fluxo,fluxo-core,data,scheduler

# Fluxo

### Simple data flow with execution in separate threads and easy scheduling configuration.

# Installation

To use the `fluxo-core` library, you can install it using the pip command. Make sure you have Python and pip installed before proceeding.

```
pip install fluxo-core
```

# How to Use

### 1 - Create a folder in the project root:

First, create a folder named `python_files` at the root of your project. This folder will contain your Python files.

### 2 - Create a Python file within the python_files folder:

Now, create a Python file named fluxo1.py within the python_files folder. This is where you can write your Python code.

### 3 - Write the code:

Write the following code in the fluxo1.py file to create a basic flow with a task:

#### python_files/fluxo1.py:

```
from fluxo_core.fluxo import Fluxo
from fluxo_core.task import Task

fluxo = Fluxo(
    name='Fluxo 1',
    interval={'minutes': 1, 'at': ':10'})


@Task('Tarefa 1', fluxo=fluxo)
async def my_func():
    print('my_func being executed')
```

### 4 - Finally, start the program with the command below:

```
python -m fluxo_core.init
```
conscia-dnac-sdk 0.3.205
Conscia DNAC SDK
License: MIT
Requires Python: >=3.11

conscia-dnac
==========

![coverage](https://gitlab.com/conscia.com/code-dk/sdks/py-conscia-dnac/badges/main/coverage.svg?key_text=pytest+coverage&key_width=100)

[![Build Status](https://dev.azure.com/ConsciaDevelopers/py-conscia/_apis/build/status%2Fpy-conscia-dnac?branchName=dev)](https://dev.azure.com/ConsciaDevelopers/py-conscia/_build/latest?definitionId=3&branchName=dev)


## Setup Dev
* Open in devcontainer
* `pdm install -G test,dev,cli`
* `pdm run pytest`
* Use the poetry env as env for vs code

## Examples
* `pdm run ./examples/sync/pnpdevice.py`