GithubHelp home page GithubHelp logo

api_backend's Introduction

Contributors Forks Stargazers MIT License LinkedIn


Motion Sense Logo

Motion Sense API


Table of Contents
  1. About The Project
  2. Getting Started
  3. License
  4. Contact
  5. Acknowledgements

About The Project

Built With

Getting Started

Prerequisites

  • python

    macOS

    brew install [email protected]

    for other systems check python.org

  • pip

    linux/macOS

    python -m pip --version

    windows

    py -m pip --version

Installation

  1. Clone the repo

    git clone https://github.com/dan-candeira/api_backend.git
  2. Install pip packages

    pip install -r requirements.txt
  3. Create a .env file in the main folder

  4. Add a SECRET_KEY to the .env file:

    SECRET_KEY = 'ENTER YOUR SECRET_KEY'

    examples of SECRET KEY at randomkeygen

  5. Run command:

    uvicorn main:app --reload

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgements

api_backend's People

Stargazers

 avatar  avatar

Watchers

 avatar

Forkers

infocbra

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.