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Python installation

The course excercise require an installation of Python with certain packages for scientific computing.

In the classrooms, the following packages are installed:


For writing more complex programs, we can use the PyCharm IDE.

The following paragraphs give you some tips on how to install the above packages to your home computer.


  • Anaconda is a Python distribution that comes with many pre-installed (not only scientific) packages. The disadvantage is that the distribution is relatively huge.
  • Miniconda is a stripped-down version of Anaconda. You first download and install the bootstrap distribution, and then manually add the individual packages. Choose the version with Python 3 for your operating system.

If you installed Miniconda, you can install the required packages from the command line:

$ conda install numpy scipy scikit-learn pandas matplotlib seaborn

Videos of installation: on OSX, on Ubuntu, on Windows

Always avoid installing python packages as a root user!


Download and install PyCharm, a Python IDE. The free Community edition is fully sufficient.

The professional version for students is available from download.cvut.cz.

Open a project: File → Open

Setup a python interpreter: File → Settings → Project → Project Interpreter (you should see Python 3.x interpreter)

courses/ui/exercises/python_installation.txt · Last modified: 2020/02/03 14:56 (external edit)