Jupyter/JupyterLab should be installed on your computer if you have installed Anaconda. but please also verify your Jupyter installation.
Here you will find how to install optional JupyterLab extensions which will be demonstrated during the workshop.
You are not required to install these extensions, but if you wish to you can follow the instructions below.
and to install the extensions you need to install the
$ conda install nodejs
To use widgets in JupyterLab, you also need to run the following command (even if you installed through conda):
$ jupyter labextension install @jupyter-widgets/jupyterlab-manager
For classic notebooks, if you did not install Python through Anaconda, and if you installed Jupyter
pip and not
conda, you will need to execute this command in a terminal in order to
activate widgets in Jupyter:
$ conda install nodejs $ jupyter nbextension enable --py widgetsnbextension
nbdime packages provides tools for diffing and merging Jupyter notebooks
and is integrated with Git.
It can be installed by:
$ pip install nbdime
jupyterlab-git is a JupyterLab extension for version control using Git.
To install it, run these commands:
$ jupyter labextension install @jupyterlab/git $ pip install jupyterlab-git $ jupyter serverextension enable --py jupyterlab_git
jupyterlab/github is a JupyterLab extension for accessing GitHub repositories.
To install it, run this command:
$ jupyter labextension install @jupyterlab/github
Python will be the main language used during the CodeRefinery workshop, but if
you use R and want to experiment with R in Jupyter, install the
$ conda install -c r r-essentials
Matlab, Octave and Julia can also be used as kernels to Jupyter, although this will not be covered in the workshop.
To install the Octave kernel, run
$ pip install octave_kernel $ python -m octave_kernel.install
See this page for further information.
If you want to play around with IJulia, the Julia kernel for Jupyter, see instructions here.
To see whether JupyterLab is working as expected, type the command
and see if it opens up a new tab in your browser showing the JupyterLab interface.
Please also verify which Python version JupyterLab sees. Ideally it can see Python 3.
On Windows, the JupyterLab App can also be launched by clicking on the JupyterLab icon in the Anaconda menu.