21M.387 - Fund. of Digital Music Processing

Resources

• Fund. of Music Processing (MIT login)
• Mathematics of DFT with Audio Applications

Setup

Install Python3

Linux:

$ sudo apt install python3-pip python3-venv python3-tk

Mac OS X (via Homebrew):

$ brew install python@3
$ pip3 install virtualenv

Setup virtual env

$ python3 -m venv /path/to/your/venv
$ source /path/to/your/venv/bin/activate

Install python dependencies

$ pip3 install --no-cache-dir -r requirements.txt
$ jupyter nbextension enable --py widgetsnbextension

Setup Jupyter kernel

Some docs online state that you need to create a separate kernel from your virtualenv, and this is how you can go about that:

$ python -m ipykernel install --user --name=fmp

Though if you don't create a kernel, so long as you used the pip from your activated virtualenv to install jupyter, the default Python kernel should already be good to go:

$ jupyter kernelspec list
Available kernels:
  fmp        /home/jmf/.local/share/jupyter/kernels/fmp
  python3    /home/jmf/src/venv/fmp/share/jupyter/kernels/python3

You can select which kernel to use from a drop-down menu in the jupyter UI.

Running

To start out a local jupyter instance, you can run the command below from this directory:

$ jupyter notebook <notebook_file.ipynb>

And then open your browser at http://localhost:8888 to access it. Click on any of the .ipynb files to open a notebook.

If you're running this notebook server remotely, however, and trying to access the it from a different machine, you can create a ssh tunnel for that.

From your client (the machine you're ssh'ing from):

$ ssh -L 8080:localhost:8888 [email protected]

From your server (the machine you ssh'ed to, and from which you'll be running the jupyter notebook server):

$ ./run.sh       # starts out the jupyter server

Then from your client machine, direct your browser to http://localhost:8080 to access the jupyter server.