Python installation

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

In the classrooms, the following packages and their versions are installed:

python=3.4.3
numpy=1.10.4
scipy=0.17.0
scikit-learn=0.17
pandas=0.17.1
matplotlib=1.5.1
seaborn=0.7.0

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

The following paragraphs give you some tips 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 stripped-down version of Anaconda. You first download and install the bootstrap distribution, and than manually add the individual packages. Choose version with Python 3 for your operating system.

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

$ conda install numpy scipy scikit-learn pandas matplotlib seaborn

Videos of installation: 1, 2, 3

Should you have any issues using Anaconda distribution, you can try Pyzo. Pyzo is also a Python distribution and contains all the required packages. It only seems to be less used and maintained.

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 either python version 2.x or 3.x)