Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Installation

Install the rk from PyPI

$ sudo pip install rk

Install the rk from GitHub

$ sudo pip install git+git://github.com/korniichuk/rk#egg=rk

Upgrade the rk from PyPI

$ sudo pip install -U rk

or:

$ sudo pip install --upgrade rk

Uninstall the rk

$ sudo pip uninstall rk

Development installation

$ git clone git://github.com/korniichuk/rk.git
$ cd rk
$ sudo pip install .

Quickstart

quickstart [youtube video]

First, make sure that you can login to a remote machine without entering password. The most basic form of the command is:

$ ssh REMOTE_HOST

If your username is different on a remote machine, you can specify it by using this syntax:

$ ssh REMOTE_USERNAME@REMOTE_HOST

Example:

$ ssh albert@192.168.0.1

Second, install a template of a remote jupyter kernel to kernels location:

$ rk install-template

Third, change the kernel.json file:

$ sudo gedit /usr/local/share/jupyter/kernels/template/kernel.json

The kernel.json file looks like this:

{
 "argv": [
  "rkscript",
  "python",
  "{connection_file}",
  "remote_username@remote_host"
 ],
 "display_name": "Template",
 "language": "python"
}

For a python2 remote jupyter kernel just change remote_username@remote_host. For example from remote_username@remote_host to albert@192.168.0.1.

Fourth, launch jupyter notebook and check your new remote juputer kernel:

$ jupyter notebook

or:

$ ipython notebook

Choose: Files -> New -> Template.

User guide

Help

The standard output for –help:

$ rk -h

or:

$ rk --help

For information on using subcommand “SUBCOMMAND”, do:

$ rk SUBCOMMAND -h

or:

$ rk SUBCOMMAND --help

Example:

$ rk install -h

Version

The standard output for –version:

$ rk -v

or:

$ rk --version

Kernels dict

user guide: kernels dict [youtube video]

Open kernels.json file:

$ sudo gedit /usr/local/lib/python2.7/dist-packages/rk/config/kernels.json

The kernels.json file looks like this:

{
 "template": {
  "display_name": "Template",
  "interpreter": "python",
  "language": "python",
  "remote_host": "remote_username@remote_host"
 }
}

Where:

  • template – the name of a remote jupyter kernel,

    • display_name – a kernel’s name as it should be displayed in the UI. Unlike the kernel name used in the API, this can contain arbitrary unicode characters [1],

    • interpreter – an entry point or an absolute path to language interpreter on a remote machine,

    • language – a name of the language of a kernel. When loading notebooks, if no matching kernelspec key (may differ across machines) is found, a kernel with a matching language will be used. This allows a notebook written on any python or julia kernel to be properly associated with the user’s python or julia kernel, even if they aren’t listed under the same name as the author’s [1],

    • remote_host – just a remote host or, if your username is different on a remote machine, use this syntax: remote username AT remote host.

Change kernels.json file and add info about your remote jupyter kernels, for example like this:

{
 "albert2": {
  "display_name": "Albert Python 2",
  "interpreter": "python2",
  "language": "python",
  "remote_host": "albert@192.168.0.1"
 },
 "albert3": {
  "display_name": "Albert Python 3",
  "interpreter": "python3",
  "language": "python",
  "remote_host": "albert@192.168.0.1"
 }
}

Where:

  • albert2, albert3 – the names of a remote jupyter kernels,

    • Albert Python 2, Albert Python 3 – the display names for the UI,

    • python2, python3 – entry points on a remote machine,

    • python – the name of the language of a remote jupyter kernel,

    • albert – the remote username on a remote machine, not similar with a username on a local machine,

    • 192.168.0.1 – the remote host.

Kernels location

Jupyter support the system and the user kernels locations:

kernels location

system

/usr/local/share/jupyter/kernels; /usr/share/jupyter/kernels

user

~/.ipython/kernels

The default kernels location in the rk: /usr/local/share/jupyter/kernels.

Change the default kernels location:

$ sudo gedit /usr/local/lib/python2.7/dist-packages/rk/config/rk.ini

Show list of remote jupyter kernels from kernels dict

$ rk list

Install a remote jupyter kernel/kernels from kernels dict to kernels location

$ rk install KERNEL_NAME [KERNEL_NAME ...]

Where:

  • KERNEL_NAME – a name of a remote jupyter kernel in the kernels dict kernels.json.

Example:

$ rk install albert2
$ rk install albert2 albert3

Install a template of a remote jupyter kernel to kernels location

$ rk install-template

Install all remote jupyter kernels from kernels dict to kernels location

$ rk install-all

Uninstall a remote jupyter kernel/kernels from kernels location

$ rk uninstall KERNEL_NAME [KERNEL_NAME ...]

Where:

  • KERNEL_NAME – a name of installed remote jupyter kernel.

Example:

$ rk uninstall albert2
$ rk uninstall albert2 albert3

Uninstall a template of a remote jupyter kernel from kernels location

$ rk uninstall-template

Uninstall all jupyter kernels from kernels location

$ rk uninstall-all

Setup SSH for auto login without a password

$ rk ssh

If you are familiar with ssh-keygen, ssh-copy-id and ssh-add, this code also setup SSH for auto login without a password [2]:

$ ssh-keygen -t rsa -b 4096 -N '' -f ~/.ssh/id_rsa
$ ssh-copy-id REMOTE_HOST
$ eval "$(ssh-agent -s)"
$ ssh-add ~/.ssh/id_rsa

Log files

The default log files location in the rk: /tmp/rk/log. The name of rk log file, for working remote jupyter kernel, look like this: bree@192.168.0.1_1879-03-14_11.30.00.txt. And the log file looks like this:

date: 1879-03-14 Friday
time: 11:30:00

usernames: bree<->albert
remote host: 192.168.0.1

stdin ports: 37654<->58933
hb ports: 53538<->59782
iopub ports: 45330<->51989
shell ports: 36523<->36107
control ports: 50090<->53633

pids: 16965<->20944

The paramiko log file is available in a local connection file directory. The name of paramiko log file, for working remote jupyter kernel, look like this: paramiko-843664c7-798d-4a9e-979c-22d0dc4a6bd5.txt.

History

Legend

  • added

  • corrected

  • removed

rk 0.3

  • bug in the rk and in the rkscript: an initial component of ~ or ~user is not replaced in a paths.

  • bug in the rk: a superuser (root) privileges required for the user kernels location ~/.ipython/kernels.

  • setup SSH for auto login without a password with a “ssh” subcommand.

  • error in the rkscript: list index out of range.

  • info about working remote jupyter kernel in rk log file.

  • paramiko log file in a local connection file dir.

  • error in the rkscript: no handlers could be found for logger “paramiko.transport”.

  • local port forwarding in the rkscript via paramiko, not via pexpect.

rk 0.2

  • uninstall all jupyter kernels from kernels location with a “uninstall-all” subcommand.

  • uninstall a remote jupyter kernel/kernels from kernels location with a “uninstall” subcommand.

  • install a remote jupyter kernel/kernels from kernels dict to kernels location with a “install” subcommand.

  • install all remote jupyter kernels from kernels dict to kernels location with a “install-all” subcommand.

  • show list of remote jupyter kernels from kernels dict with a “list” subcommand.

Footnotes

Release files for rk 0.3b1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distributions (sdists)

Source distribution for rk 0.3b1
File Size Uploaded
rk-0.3b1.zip 144.5 kB Details
rk-0.3b1.tar.gz 141.9 kB Details

Release files / rk-0.3b1.zip

Download URL rk-0.3b1.zip
Size 144.5 kB
Tags Source
SHA-256 checksum
How to use checksums
81e79edf16a82408f64604dd30903d48edef1f458df5ba5e2b97f3158cc8cc8f
BLAKE2b-256 checksum
How to use checksums
5c30f5d0a51e59e7186f52a80b48e956dd305c9caeabb41e8c4ad469d4adbaba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / rk-0.3b1.tar.gz

Download URL rk-0.3b1.tar.gz
Size 141.9 kB
Tags Source
SHA-256 checksum
How to use checksums
76c36a5bef05279fd74ba4263f072cd6094e98a649922064f5bf91d1f3f8706e
BLAKE2b-256 checksum
How to use checksums
17e08defbb4c4ce0ad73c0860137739c42b6c542f6dfb7e87fd9924521d786f5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release history Release notifications | RSS feed

This release

0.3b1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page