Python for science and engineering

Slides to accompany the ipython notebook "Python for science and engineering".
Forms part of the Yonsei University Graduate Class in "Energy Materials: Design, Discovery and Data".

Transcript

1. Yonsei University Graduate Class Energy Materials: Design, Discovery and Data Python for science and engineering Lucy Whalley PhD student Imperial College London / Centre for Doctoral Training in Photovoltaics l.whalley16@ic.ac.uk
2. About Me 2007 - 2011: MSci degree (physics) from University of Birmingham 2011 - 2012: PGCE (mathematics) from Birmingham City University 2015 - current: PhD student at Imperial College London and CDT in Photovoltaics
3. Question Why programming / Python?
4. Why Python?
5. Why Python? You can do cool things, easily!
6. What do I use Python for? (not python!) (for the future) •  Clear, transparent data pipeline •  Reduces errors •  Re-usable code •  Easy to make changes
7. Workshop outline Part one Part two
8. To run: Module 4
9. Module 4 Use in-built help Read error messages
11. Workshop outline Part one Part two
12. Module 4 https://dx.doi.org/10.1039/C3TA10518K
13. Python plots can be beautiful From: http://blog.olgabotvinnik.com/blog/2013/08/21/2013-08-21-prettyplotlib-painlessly-create-beautiful-matplotlib/
14. Next steps Use the terminal as a calculator Search online Use built-in help Keep a Jupyter lab book Start a (mini?) project Tutorials
15. Mini project: carbon_calculator.py Define function Correct indentation Docstring to describe what the module does Import modules Assign variable Nested for loops Conditional `If` statement Write to file Math functions Print statements String formatting