Course: SCMP112 Numerical Computing with Python (Nov. 2019)

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- SCMP112 Numerical Computing with Python (Nov. 2019)
  Learn about research computing even with little programming experience. Covers programming in python, best practices and visualization. Some experience with python is required. The course will last 4 weeks with 2 lectures per week (mini/modular grad course).
  Teachers: Alexey Fedoseev, Ramses van Zon
  Start date: 5 Nov 2019
  End date: 5 Dec 2019
1. Numerics
- File
  
  Slides of Lecture 1 File
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Notebook version of the lecture (with images) File
  
  368.8 KB Archive (ZIP)
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Recording of Lecture 1 File
  
  Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0).
2. Numpy and SciPy
- File
  
  Slides of lecture 2 File
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Notebook version of lecture 2 (with images) File
  
  10.8 KB Archive (ZIP)
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Recording of lecture 2 File
  
  Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0).
3. Solving Ordinary Differential Equations
- File
  
  Slides of lecture 3 File
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Recording of lecture 3 File
  
  Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0).
4. Visualization
- File
  
  Slides of lecture 4 File
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Notebook with examples File
  
  1.0 MB Text file
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Recording of lecture 4 File
  
  Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0).
5. Solving Partial Differential Equations
- File
  
  Slides of lecture 5 File
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Recording of lecture 5 File
  
  Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0).
6. Data and Input/Output
7. Markov Chain Monte Carlo
- File
  
  Slides of lecture 7 File
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Recording of lecture 7 File
  
  Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0).
8. Machine Learning
- File
  
  Slides of lecture 8 File
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Notebook with examples File
  
  78.0 KB Text file
  
  Creative Commons Attribution 4.0 International License.
- File
  
  Recording of lecture 8 File
  
  Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0).
Assignments
- Page
  
  Assignment 1 Page
- Page
  
  Assignment 2 Page
- Page
  
  Assignment 3 Page
- File
  
  Assignment 3 starting code heatimplicit.py File
- Page
  
  Assignment 4 Page
Links
- URL
  
  Python web site URL
- URL
  
  Numpy and SciPy documentation URL
- URL
  
  Scientific Python Lectures URL
- URL
  
  Anaconda Python distribution URL
  
  Very convenient on your own computer, less so on advanced research computing clusters.