Recipes for using the ctcsound Python interface to the Csound API. Each recipe
is presented in a Jupyter notebook.

The easiest way to get Jupyter working on Windows or OSX is to install Anaconda with the latest
Python 3.x version. Anaconda includes Python and a bunch of numerical computing
modules like numpy, matplotlib, scipy, etc. Once Anaconda is installed on your
system, you can add an environment for Python 2.7 with the following commands:

conda create -n py27 python=2 ipykernel anaconda
source activate py27   # On Windows, remove the word 'source'
python -m ipykernel install --user

You'll then have kernels for Python 2 and 3 in Jupyter.

Linux users might prefer to install Jupyter using pip instead of Anaconda. For example on Ubuntu 16.04 LTS, Python 2.7.12 and Python 3.5.2 are installed by default. Python 2.7.12 is launched with the command python or with the command python2, while Python 3.5.2 is launched with the command python3.

One have to install pip for both versions of Python:

sudo apt-get install python-pip
sudo apt-get install python3-pip

Then upgrade pip:

sudo pip install --upgrade pip
sudo pip3 install --upgrade pip

Install Jupyter with the Python 3 kernel, and numpy and matplotlib for both versions of Python:

sudo pip3 install jupyter
sudo pip install numpy
sudo pip install matplotlib
sudo pip2 install numpy
sudo pip2 install matplotlib

And finally install the Python 2 kernel for Jupyter:

sudo python -m pip install ipykernel
sudo python -m ipykernel install --user