by Bryce Frank
It will be convenient for us to set up a remote-capable IDE for writing our processing scripts. Many options are available for this, but pyfor has been developed with Jupyter notebooks in mind, and they provide a fairly simple (and free) way to do remote development. This post explains briefly how to set this environment. This is largely borrowed from this post but is included below for completeness.
By default, Jupyter is not included in the
pyfor_env conda environment. We will install it ourselves on the host machine with the following command. Particularly, I recommend installing Jupyter lab.
conda install jupyterlab
Now, we start a remote server (basically a jupyter instance without opening the browser).
tmux is useful for handling the running window.
jupyter lab --no-browser --port=8889
On your local computer open a terminal or some application that can handle
ssh connections for you and use the following to set up ssh forwarding.
ssh -i your_pem.pem -N -f -L localhost:8888:localhost:8889 ubuntu@<your ipv4>
Now, return to your remote connection terminal and find the link that Jupyter spits out, it should look something like
Copy that link, paste it into a brower and replace the last 9 with an 8 to match the ssh forwarding port. This should open up a window with a Jupyter lab instance. If it requests a token, copy and paste the
<your token> part of the URL above into the text box.