Reputation: 3359
Here's a few links that I went to and did exactly what they said. I don't know what I'm doing wrong.
https://github.com/alexarchambault/jupyter-scala
https://github.com/ipython/ipython/wiki/IPython-kernels-for-other-languages
https://github.com/apache/incubator-toree
http://jcrudy.github.io/blog/html/2013/12/08/introduction_to_iscala.html
None of this is working. It may be some way that my node is configured. I just don't know. Please help.
Upvotes: 21
Views: 48192
Reputation: 238309
spylon-kernel
hasn't seen an update in years. These days its much better to use almond.
Upvotes: 0
Reputation: 964
For mac, I needed only to 3 commands to add Scala and run it with Spark (I had it already installed) on my Jupyter notebook
pip install spylon-kernel
python -m spylon_kernel install
ipython notebook
Once you run them on your terminal, you'll have spylon-kernel in your notebook, which can be used as your a Scala notebook.
Upvotes: 2
Reputation: 21
Make sure spark is installed in local along with SPARK_HOME
is added or exported in .profile/environment
file.
If not, you might get stuck with the following message:
"Intitializing Scala interpreter ..."
without any result.
Upvotes: 2
Reputation: 790
conda create --name base2 --clone base
to create an env just like base.
conda activate base2
to move to the new env.
conda install -c conda-forge spylon-kernel
.
python -m spylon_kernel install --user
. create a kernel spec for Jupyter notebook
jupyter-notebook
...and works just fine.
I'm using:
from def suma(a: Int) = a + 3
Upvotes: 6
Reputation:
I can't add a comment to Heapify's answer, but his solution worked for JupyterLab on Windows without problems.
I cut and pasted his code into an Anaconda Powershell prompt
pip install spylon-kernel
python -m spylon_kernel install
jupyter notebook
And refreshed my anacopnda launcher and the spylon project option was available.
Upvotes: 3
Reputation: 2901
I tried the following with Jupyterhub notebook and it works seamlessly:
# Step 1: Install spylon kernel
pip install spylon-kernel
# Step 2: create a kernel spec
python -m spylon_kernel install
# Step 3: start jupyter notebook
jupyter notebook
PS: to list all installed kernels, you can run the following command:
jupyter kernelspec list
Upvotes: 22
Reputation: 542
You can use the information given here.
Ensure you have IPython 3 installed. ipython --version should return a value >= 3.0. If it's not the case, a quick way of setting it up consists in installing the Anaconda Python distribution, and then running
$ pip install --upgrade "ipython[all]"
ipython --version should then return a value >= 3.0.
Download the Jupyter Scala binaries for Scala 2.10 (txz or zip) or Scala 2.11 (txz or zip), and unpack them in a safe place. Then run once the jupyter-scala program (or jupyter-scala.bat on Windows) it contains. That will set-up the Jupyter Scala kernel for the current user.
Check that Jupyter/IPython knows about Jupyter Scala by running
$ jupyter kernelspec list
This should print, among others, a line like
scala211
(or scala210 dependending on the Scala version you chose).
Then run either IPython console with
$ ipython console --kernel scala211
and start using the Jupyter Scala kernel straightaway, or run Jupyter Notebook with
$ jupyter notebook
and create Scala 2.11 notebooks by choosing Scala 2.11 in the dropdown in the upper right of the Jupyter Notebook start page.
Note: Since IPython has now been replaced by Jupyter, we replaced ipython
in the above commands with jupyter
.
Upvotes: 17
Reputation: 3359
The answer for Linux can be found here.
Install Scala. Add these lines to ~/.bashrc
export SCALA_HOME=/usr/local/share/scala export PATH=$PATH:$SCALA_HOME/bin:$PATH Follow these instructions from the GitHub site:
Download and unpack pre-packaged binaries Scala 2.11. Unpack each downloaded archive(s), and, from a console, go to the bin sub-directory of the directory it contains. Then run the following to set-up the corresponding Scala kernel:
./jove-scala --kernel-spec
Upvotes: 2