API_KEY

MEDIA_ID

Explore space with NASA APIs using Python. Learn to retrieve and manipulate data from multiple APIs, build a Django app, and gain insights into NASA’s data archives.

Exploring Space with NASA APIs in Python.png

NASA.tar.gz

demo-app

Space has long captured our imaginations and is a large factor in many developer stories and interest in technology.

This course will help you explore space using NASA’s public data archives. You’ll first set up an account to generate a unique API key. You’ll then walk through five different APIs. The Asteroid NeoWs API will help you retrieve data about near-earth asteroids. Turn your gaze from space back to Earth by using the EONET API to retrieve data regarding hazardous and the EPIC API to retrieve color images of Earth. Next, you’ll pull surface photos of Mars using the Mars Rover Photo API before pulling images and metadata for NASA’s photo of the day using the APOD API and any other media from using the Image and Video Library API. You’ll finish your exploration of space by bundling all of your astronomical data and photos into a fully functional Django application.

By the end of this course, you’ll have a working knowledge of NASA’s various APIs and the ability to explore space in an application.

Exploring Space with NASA APIs in Python

Humanity's second expected home after Earth is probably Mars. We've been searching for life in outer space for centuries. The discovery of ice polar caps on Mars gave us hope that this might be the planet where we would find life after all. In an effort to discover more about Mars, NASA landed multiple robots on Mars to get information about the planet. The Mars Rover Photos API provides us with information collected by three of those rovers that are as follows:


- Curiosity
- Opportunity
- Spirit







Learn to fetch the photos of Mars using the Mars Rover Photos API.

Introduction

Earth and Mars

NASA APIs for Media Content

API Integration in Django

Conclusion

Mars Rover Photos