Welcome to Stellar Space, the one and only spot in the known universe where you can know everything about the universe. Here's the scenario: an alien has hired you, a galactic researcher, to find out about the milky way universe and is especially interested in the planet Mars. This is a react application enables a user to see the weather in Mars as well as photos taken on the planet. the user is able to have a view of objects floating on the milky way space.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

In order for you to use the content on this repo ensure you have the following:

• A computer that runs on either of the following; (Linux, Mac OS)
• nodejs 9.0+

To use this repo on your machine requires some simple steps

• Open a terminal / command line interface on your computer

• Clone the repo by using the following:

    git clone https://github.com/ayub-ian/stellar-space.git
  

• Be patient as it creates a copy on your local machine for you.

• Change directory to the repo folder:

    cd stellar-space
  

• (Optional) Open it in Visual Studio Code

    code .
  

• (Alternate Option) Open it in any editor of your choice.

• Hurray! You are one step closer to being as intelligent as Einstein.

• On the top right corner of this page there is a button labelled Fork.

• Click on that button to fork the repo to your own account.

• Take on the process in Alternative One above.

• Remember to replace your username when cloning.

    git clone https://github.com/your-username-here/stellar-space.git
  

Running the application is very straight forward. You can use the following steps to run the app.

• Install required dependencies from npm

  npm install
  

• Run the application on the browser

  npm start
  

In the project directory, you can run:

Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.

Website can be accessed live at Stellar Space website

• ReactJs.
• [CSS]

This project was contributed to by:

• [Ian Ayub]
• [Steve Mbugua]
• [Dancun Odhiambo]
• [Tevin Gichoya]

The project is licensed under MIT. See the LICENSE file for license rights and limitations.