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Python for MATLAB users – 2015

Welcome to this workshop on Python programming intended for researchers familiar with MATLAB. The course includes basic as well as advanced topics in Python programming. No previous knowledge in Python is necessary. The course will take place at KTH, Stockholm and is free of charge.

The course includes the following basic topics:

  • Numerical computation with NumPy, SciPy and matplotlib
  • Using the Jupyter notebook
  • Object oriented programming in Python
  • Testing numerical code with unit tests

We will also attempt to cover the following more advanced topics:

  • High performance directly in Python with Numba
  • Interfacing C with Cython
  • Data analysis with Pandas

Credits

This is a SeSE-workshop (not a regular SeSE-course) and will not give you any ECTS credits.

Program

The workshop will take place 7–8 December at KTH. We will meet on Monday morning at 09:15, at the Mathematics department, Floor 7, seminar room 3721

Schedule

Monday 7 December
09:15-11:45, Lecture – Mathematics department, Floor 7, seminar room 3721
11:45-13:15, Lunch
13:15-16:30, Exercises – Mathematics department, Floor 4, room 3434

Tuesday 8 December
09:15-11:45, Lecture – Mathematics department, Floor 7, seminar room 3721 We meet at the street floor of the math department (Lindstedtsvägen 25) at 09:10.
11:45-13:15, Lunch
13:15-16:30, Faxen seminar room, Mechanics department

Material

Lecture 1

Lecture 1

Exercises

Lecture 2

Lecture 2

Exercises

Lecturer

Please contact the lecturer Olivier Verdier for further information.

Installation Instructions

Before attending the course, you should install Python for scientific computing, in order to be able to do the exercises. Please install Python from the anaconda distribution. You should download the Python 3.4 version.

You can then check that the installation works properly by following these steps:

  1. Fire up a terminal, and issue the following command:
    ~/anaconda/bin/jupyter notebook
  2. You should now be in an IPython session in your favorite web browser. Press the “New” button, and choose “Python 3” in the menu.
  3. You should now be inside a new notebook. Choose the first cell, and paste the following code:
    %pylab
    %matplotlib inline
    for i in range(5): plot(cumsum(randint(2, size=1000) - .5), alpha=.7)

    Now press Shift+return.
    You should see a graph appearing in the cell, just below the Python code you just entered.

    Please contact me if any of those steps do not work as expected.

Registration

The workshop is free of charge, but please register with the form below, and please notify us in the case you are not able to come. The number of participants is limited, but there is still space for further participants.
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