ESA title
Agency

Astro Pi kit video tutorials

7055 views 10 likes
ESA / Education / AstroPI

The Astro Pi kit is the only tool teams participating in the European Astro Pi Challenge can use to design their experiment.
The European Astro Pi Challenge is a project by the ESA Education Office, in collaboration with the Raspberry Pi Foundation, offering school students the amazing opportunity to run scientific investigations on the International Space Station (ISS) by means of computer coding.

Explore the Astro Pi kit with the videos below.

Astro Pi webinar 2018/19

In this video, the Astro Pi team answers the technical questions from students who are participating in the European Astro Pi Challenge - Mission Space Lab.

 

Astro Pi kit unboxing

Discover what is inside the Astro Pi Kit with this video

 

Astro Pi kit - How to set up your Raspberry Pi computer

This video explains how to assemble the Raspberry Pi computer contained in the Astro Pi Kit for the first time. 

 

Astro Pi Kit - How to assemble the Sense HAT

The Sense HAT is an add-on board for the Raspberry Pi computer that was specially created for the Astro Pi Challenge. This video explains how to assemble the Sense HAT contained in the Astro Pi Kit.

 

Astro Pi kit - How to build a flight case

This video explains how to build an Astro Pi flight case similar to the ones on the International Space Station.  

How to use the Sense HAT

This video explains how to use the Sense HAT included in the ESA Astro Pi kit to measure the temperature, pressure and humidity of the surroundings. Example codes are produced and explained.

 

How to track the International Space Station

This video guides you through using the ESA Astro Pi kit and some simple Python code to track the ISS in real-time. The video also shows you how to calculate whether the ISS is travelling over daytime Earth or night-time Earth.

 

How to use the Astro Pi cameras

This video shows how to assemble the Astro Pi cameras included in the ESA Astro Pi kit. It also explains how to use Python to capture still images and video, as well as add annotations to them.