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Remote Jupyter Kernels via SSH tunnels ######################################
The design of this pakage is based upon SSH Kernel <https://github.com/bernhard-42/ssh_ipykernel>
_ which
in turn is based upon remote_ikernel <https://bitbucket.org/tdaff/remote_ikernel>
. This implementation shares
a common set of command line parameters with SSH Kernel <https://github.com/bernhard-42/ssh_ipykernel>
, but it was
implemented from scratch to adapt to recent changes to :code:jupyter_client
(which broke :code:ssh_ipykernel
)
and to support Python 3.10. This package adds an :code:ls
implementation which allows listing info about the
available kernel specifications.
While there are modest additions to SSH Kernel <https://github.com/bernhard-42/ssh_ipykernel>
, there are
also modest subtractions. There are fewer configuration options for things like the internal name used
by Jupyter Client <https://jupyter-client.readthedocs.io/en/stable/#>
to refer to the created
kernel.
Listing the Jupyter Kernels that are available
It can be difficult to know which Jupyter Kernels are available because there are multiple locations where
the Kernel Spec files <https://jupyter-client.readthedocs.io/en/latest/kernels.html#kernel-specs>
_ can be
found. :code:sshpyk
has an :code:ls
option which lists the kernels that are available (even those which are
not SSH Kernel <https://github.com/bernhard-42/ssh_ipykernel>
_ or :code:sshpyk
kernels::
bash$ bash$ python -m sshpyk.kernel.ls --no-check -a python3 /Users/drs/develop/python/conda/envs/py310/share/jupyter/kernels/python3 python3.8 /usr/local/share/jupyter/kernels/python3.8 python3dbg /Users/drs/Library/Jupyter/kernels/python3dbg ssh__sshhost06test001 /Users/drs/Library/Jupyter/kernels/ssh__sshhost06test001 ssh__sshhost06test002 /Users/drs/Library/Jupyter/kernels/ssh__sshhost06test002 ssh_host06_host06homehost06condaenvspy310 /Users/drs/Library/Jupyter/kernels/ssh_host06_host06homehost06condaenvspy310 bash$
The :code:--no-check
(or alternatively :code:-nc
) flag indicates that the validity of the kernel spec files
should not be checked. The :code:-a
(or :code:--all
) flag indicates that it should show all kernel
specifications rather than just the ones for SSH Kernel <https://github.com/bernhard-42/ssh_ipykernel>
_ or
:code:sshpyk
kernel specification files.
If :code:--no-check
is not supplied, part of listing the kernel information will include
verify that the Python executable specified in the kernel specification exist on the local and remote systems.
This check allows the ouput to be colorized so red text indicates a problem. :code:--local
will limit the
check to just the local Python executable and :code:--remote
will limit the check to only the remote Python
executable. These options also list the local or remote Python path instead of the path to the kernel
specification directory.
The following options are available for listing the Jupyter kernel specifications:
--help, -h ^^^^^^^^^^
Show help information and exit.
--all, -a ^^^^^^^^^
List all kernels that are available rather than just
`SSH Kernel <https://github.com/bernhard-42/ssh_ipykernel>`_ and sshpyk kernels.
--local, -l ^^^^^^^^^^^
Only list the information for the local Python executable.
--remote, -r ^^^^^^^^^^^^
Only list the information for the remote Python executable.
--no-check, -nc ^^^^^^^^^^^^^^^
Do not check for the existence local or remote Python executables. This option
can be used alone or with other options, e.g. with :code:`-l`. :code:`--no-check`
avoids colorization to indicate problems so it can be useful for scripting.
Adding a new Kernel for a Remote System
:code:sshpyk
can also be used to add a specification file for a remote Python Kernel. For a
remote kernel to work
ssypyk
must be installed on the local systemipykernel
must be installed on the remote systemOnce these requirements are satisfied, the new kernel can be added like::
bash$ python3 -m sshpyk.kernel.add --host host06 --python /home/host06/conda/envs/py310 --display-name 'host06 kernel'
This will add a Python kernel which will run on :code:host06
, and it will be called
:code:host06 kernel
when it is listed as an option for the user. We can check to see if it
is now included by using the :code:ls
functionality::
bash$ python3 -m sshpyk.kernel.ls -r -a -nc python3 localhost:python python3.8 localhost:/opt/local/bin/python3.8 python3dbg localhost:/Users/drs/develop/casagui-ic-debugging/iclean_demo_venv/bin/python ssh__sshhost06test001 host06:/home/host06/conda/envs/py310/bin/python ssh__sshhost06test002 host06:/home/host06/conda/envs/py310/bin/python ssh_host06_host06homehost06condaenvspy310 host06:/home/host06/conda/envs/py310/bin/python ssh_host06_host06kernel host06:/home/host06/conda/envs/py310/bin/python bash$
Unlike the example above, here we have asked that the remote Python path be displayed
instead of showing the kernel specificaton directory. Since we again asked that all kernels
be displayed instead of only the SSH kernels, a Python path is displayed for the
non-SSH kernels, but it is the local Python path as indicated by :code:localhost:
.
Because these three kernels are non-SSH kernels this is the only Python path that is
available. However for the SSH kernels, we can see the remote Python path listed.
These paths are prefixed with the hostname, here :code:host06:
. We can also see
the newly added kernel listed as :code:ssh_host06_host06kernel
. This name is an internal
name created from the :code:--display-name
string which the end user will typically
never see.
--help, -h ^^^^^^^^^^
Show help information and exit.
--timeout TIMEOUT, -t TIMEOUT ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Specify timeout to wait for kernel startup text.
This option is **not used** by :code:`sshpyk`. It is only used by :code:`ssh_ipykernel`.
--env [ENV ...], -e [ENV ...] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Specify environment variables for access by code executed within the remote Python
kernel the form: :code:`"NAME=VALUE"`
--display-name DISPLAY_NAME, -d DISPLAY_NAME ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Specify the string to be used to describe this kernel to the end user.
--session ^^^^^^^^^
Signal that session information should be stored in :code:`~/.sshpyk/sessions` for this kernel". This
option is **not used** by :code:`ssh_ipykernel`. Note that when :code:`--session` is used the terminal
output generated from the SSH connection is also directed to :code:`~/.sshpyk/sessions`.
--sudo, -s ^^^^^^^^^^
Use :code:`sudo` to start kernel on the remote machine.
This option is **not currently used** by :code:`sshpyk`. It is only used by :code:`ssh_ipykernel`.
--host HOST, -H HOST ^^^^^^^^^^^^^^^^^^^^
The name of remote host as used to connect with SSH.
--python PATH, -p PATH ^^^^^^^^^^^^^^^^^^^^^^
Path to remote python installation. This is the path to the root of the Python
installation so the Python executable would be found in :code:`<PATH>/bin/python`.
The host name used above is different from the Internet Protocol name for hosts which have
a well defined address. It is also a name apart from the physical network where the host can
be found. SSH allows for rationalizing the naming of the hosts to which you have access.
This is done through the :code:$HOME/.ssh/config
file.
The most useful configuration option with respect to :code:sshpyk
is the ability to set
up access to a host behind a bastion host <https://en.wikipedia.org/wiki/Bastion_host>
_.
Assuming, the host named :code:host06
from above is behind a bastion host, a configuration
entry in :code:$HOME/.ssh/config
like::
Host host06 User HOST06-USERNAME ForwardX11Trusted yes ProxyCommand ssh BASTION-USERNAME@ssh.example.com -W %h:%p
will allow the local account to use its SSH credentials for the user name
:code:BASTION-USERNAME
on :code:ssh.example.com
for access to :code:host06
which
is on some protected network behind :code:ssh.example.com
. When the local account
runs :code:ssh host06
, SSH will first connect as :code:BASTION-USERNAME
on
:code:ssh.example.com
and then it connect to host :code:host06
as username
:code:HOST06-USERNAME
.
This sort of configuration will allow :code:host06
to be allowed as a hostname
for remote kernels.
FAQs
remote jupyter kernels via ssh tunnels
We found that sshpyk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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