semvec/pypi-packages huggingface dataset:
asaas-waf-module 0.1.0
Modulo padrão Asaas para regras waf e criação de clouldfront
Requires Python: >=3.10,<4.0


# Welcome to your CDK Python project!

This is a blank project for CDK development with Python.

The `cdk.json` file tells the CDK Toolkit how to execute your app.

This project is set up like a standard Python project.  The initialization
process also creates a virtualenv within this project, stored under the `.venv`
directory.  To create the virtualenv it assumes that there is a `python3`
(or `python` for Windows) executable in your path with access to the `venv`
package. If for any reason the automatic creation of the virtualenv fails,
you can create the virtualenv manually.

To manually create a virtualenv on MacOS and Linux:

```
$ python3 -m venv .venv
```

After the init process completes and the virtualenv is created, you can use the following
step to activate your virtualenv.

```
$ source .venv/bin/activate
```

If you are a Windows platform, you would activate the virtualenv like this:

```
% .venv\Scripts\activate.bat
```

Once the virtualenv is activated, you can install the required dependencies.

```
$ pip install -r requirements.txt
```

At this point you can now synthesize the CloudFormation template for this code.

```
$ cdk synth
```

To add additional dependencies, for example other CDK libraries, just add
them to your `setup.py` file and rerun the `pip install -r requirements.txt`
command.

## Useful commands

 * `cdk ls`          list all stacks in the app
 * `cdk synth`       emits the synthesized CloudFormation template
 * `cdk deploy`      deploy this stack to your default AWS account/region
 * `cdk diff`        compare deployed stack with current state
 * `cdk docs`        open CDK documentation

Enjoy!
ignf_gpf_sdk 0.1.16
SDK Python pour simplifier l'utilisation de l'API Entrepôt de la Géoplateforme.
Requires Python: >=3.8

# SDK Python pour la Géoplateforme

## Installation

Installez le module via pip :

```sh
pip install ignf_gpf_sdk
```

Vous pouvez ensuite l'[utiliser comme exécutable](docs/comme-executable.md) ou l'[importer dans vos scripts Python](docs/comme-module.md).

## Développement

Si vous souhaitez participer au développement du projet, consultez le [document détaillant comment procéder](docs/development.md).
visioncar-polygon-control 0.1.10
PySide6 application for controlling polygon elements
Requires Python: >=3.10

# Polygon Control

[![PyPI version](https://badge.fury.io/py/visioncar-polygon-control.svg)](https://badge.fury.io/py/visioncar-polygon-control)

This application allows you to control and configure gate lights from your computer connected to Wi-Fi network

## Installing and running

PyPI: `pip3 install visioncar-polygon-control`, `visioncar-polygon-control`

Building single-executable distribution: `pyinstaller --windowed -F -y visioncar_polygon_control/__main__.py`
visioncar 0.1.10
Python library for controlling ESP32 robot
Requires Python: >=3.10

# Python library and tools for VisionCar robot

[![PyPI version](https://badge.fury.io/py/visioncar.svg)](https://badge.fury.io/py/visioncar)

```bash
# install
pip3 install visioncar

# help
visioncar -h

# discover connected cars and operate using REPL
visioncar
```