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Scientific Python Fundamentals: Learn Python for Analysis and Visualisation

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Presentation Transcript

  1. Scientific Python Introduction Trygve Eftestøl Karl Skretting

  2. Aim of the course • Get to know Python • What is Python? • Why use Python? • Basic training • User interface • Basic functions • Visualisation • Programming • Analysis

  3. What is Scientific Python? • Python • object oriented programming language • Scientific • Add numpy, matplotlib, scipy • Why use Python? • Mathematcal computations • Visualisation • Analysis • Used a lot for problem solving • Cybernetics • Signal processing • Image processing • Pattern recognition • …

  4. Basic training • User interface • Basic functions • Visualisation • Programming • Analysis

  5. User interface • Interpreter window • Editor • Help

  6. User interface • Interpreter

  7. User interface • Editor

  8. User interface • Help • Documentation • Search

  9. Basic functions • Create matrices • Matrix operations • Matrix functions • Matrix indexing • Logical operations

  10. Basic functions • Create matrices • Scalar • Vector • Matrix

  11. Basic functions • Matrix operators

  12. Basic functions • Matrix functions

  13. Basic functions • Matrix indexing

  14. Basic functions • Logical operators

  15. Visualisation • 2D-plotting • 3D-plotting

  16. Visualisation • 2D-plotting

  17. Visualisation • 3D-plotting

  18. Visualisation • 3D-plotting

  19. Programming • Function files • Control structures • if • while • for

  20. Programming • Function files

  21. Programming • Condition control using if

  22. Programming • Iterations using while

  23. Programming • Iterations using for

  24. Analysis • Estimate pulse rate • Reading from data file • Plotting of signal • Detection of peaks • Problem – false detections • Spectral analysis • Filtering

  25. Analysis • Reading from data file • Plotting of signal • Detection of peaks

  26. Analysis • Problem – false detections • Spectral analysis • Filtering

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