This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.
You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.
Build status: (master/Windows)
IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X
If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive
Previous releases for the IPython notebook are here: release repository. Automatic installs for Jupyter will be provided in the future.
There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container. Build the container with:
docker build -t ifsharp:3.0.0-alpha .
Run it with:
docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha
The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.
- Download Anaconda for Python 3.6
- Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit) Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.
This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.
- Download current zip release of IfSharp v3.0.0-beta2
- Run IfSharp.exe (IfSharp application icon).
Jupyter with IfSharp can be run via "jupyter notebook" in future
If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-
- Install Anaconda
- Install Jupyter
- Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
- Download current zip release v3.0.0-beta2
- Unzip the release then run
mono IfSharp.exe - Run
jupyter notebook
- Install Jupyter via pip or Anaconda etc.
- Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
- Download the current IfSharp zip release v3.0.0-beta1
- Unzip the release to a safe place such as
~/opt/ifsharp. - Run
mono ~/opt/ifsharp/IfSharp.exeto set up the jupyter config files in~/.jupyter/and~/.local/share/jupyter/kernels/ifsharp/. - (For XPlot) From the install directory
~/opt/runmono paket.bootstrapper.exethenmono paket.exe install - Run
jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.
