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

**Asteroids** are large space rocks that have been floating in space since the #key# Big Bang: According to many scientific theories, Big Bang is the event of the expansion of matter from a highly dense singularity and it marks the beginning of the universe. #key#. Some of those asteroids are hovering close to our planet. NASA has data about more than 90% of asteroids floating close to Earth. In this lesson, we'll look at the endpoints that provide us access to this information.

Learn how to get information about the asteroids hovering near Earth using the Asteroids NeoWs API.

Introduction

Earth and Mars

NASA APIs for Media Content

API Integration in Django

Conclusion

Near-Earth Asteroids