Introduction to Scientific Computing course

This repository holds teaching materials for the NCAS Introduction to Scientific Computing course.

Index

Overview Presentations

• Algorithmic thinking
  • Exercise
  • Worksheet
• Introduction to Net Zero DRI
• Why good data curation is essential to doing good science

The Linux Shell

Presentations and Exercises

Git and GitHub

1. Introduction to Git

• Exercise and solutions

Introduction to Python

Lesson	Exercise	Solution
Running and quitting	Exercise 01	Solution 01
Variables and assignment	Exercise 02	Solution 02
Data types and type conversion	Exercise 03	Solution 03
Built-in functions and Help	Exercise 04	Solution 04
Libraries	Exercise 05	Solution 05
Reading tabular data into data frames	Exercise 06	Solution 06
Pandas data frames	Exercise 07	Solution 07
Plotting	Exercise 08	Solution 08
Lists	Exercise 09	Solution 09
For loops	Exercise 10	Solution 10
Conditionals	Exercise 11	Solution 11
Looping over data sets	Exercise 12	Solution 12
Writing functions	Exercise 13	Solution 13
Variable scope	Exercise 14	Solution 14
Programming style	Exercise 15	Solution 15
Wrap Up / Summary

Python - Working with Data

Lesson	Exercise	Solution
xarray: Introduction to multidimensional arrays, xarray data structures and indexing	Exercise 01a Exercise 01b	Solution 01a Solution 0b
xarray: Plotting and Aggregation	Exercise 02a Exercise 02b	Solution 02a Solution 02b
xarray: GroupBy processing and masking	Exercise 03a Exercise 03b	Solution 03a Solution 03b
cf-python	Exercise 04	Solution 04
matplotlib	Exercise 05	Solution 05
numpy	Exercise 06	Solution 06
netCDF4 basics	Exercise 07	Solution 07
netCDF advanced	Exercise 08	Exercise 08
Weather Exercise	Exercise 09a	Solution 09b
Sentinel Data Exercise	Exercise 09b	Solution 09b

Useful materials and resources

See the Resources page for links to useful related sites and materials.

Information

Want to re-use these materials?

Feel free to fork this repository on GitHub and re-use these materials however you like.

Acknowledgements

The foundations of our course are based on the superb materials provided by Software Carpentry who we are eternally grateful to.