Skip to content

Bristol Scientific Computing (BriSC) demonstration of using Python tools in a scientific context. This demo shows how we can use code to demonstrate Newton's Cannon.

License

Notifications You must be signed in to change notification settings

bri-sc/demo-newtons-cannon

Repository files navigation

Computing in Physics Demo

This is a Bristol Scientific Computing (BriSC) Python interactive demonstration that showcases how Physics can be applied in a computing context. This provides a taster for the type of coding and approach we take on the "X with Computing" and "Scientific Computing with Data Science" programmes at the University of Bristol. See the BriSC webpage and Postgraduate Programme for Scientific Computing with Data Science for more details.

As this demo is Physics-themed, this assumes some knowledge of A-level Physics but no knowledge of computing is required. This demonstrates modelling of projectile motion and the concept of Newton's Cannon.

Click on this link to launch this through MyBinder:

Binder

Note: this may take a while to load as MyBinder is building a coding environment for you to use in the cloud. This will not save any changes made to the file and will timeout after a few minutes of inactivity but can be relaunched.

The Python module code used within the demo is available in the newtons_cannon.py module file and the Jupyter notebook itself is phys.ipynb.

Author: @OscarZimmerman

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •