Skip to main content

Running IPython kernels through batch queues

Project description

Remote IKernel

Launch IPython/Jupyter kernels on remote systems so that they can be used with local noteboooks.

Kernels start through interactive queues on SGE clusters and are tunneled to from the machine running the notebook.

Commands for managing the kernels are included.

Install with pip install remote_ikernel.

# install the module (python setup.py install also works)
pip install remote_ikernel
# Set up the kernels you'd like to use
remote_ikernel manage
# add a new kernel
remote_ikernel manage --add --kernel_cmd='ipython kernel' \
                            --name="Python 2.7" \
                            --interface=sge \
                            --cpus=4 --pe=smp

The kernel spec will be installed so that the new kernel appears in the drop-down list in the notebook.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

remote_ikernel-0.1.tar.gz (5.6 kB view details)

Uploaded Source

File details

Details for the file remote_ikernel-0.1.tar.gz.

File metadata

  • Download URL: remote_ikernel-0.1.tar.gz
  • Upload date:
  • Size: 5.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for remote_ikernel-0.1.tar.gz
Algorithm Hash digest
SHA256 dc8dd1b571ea211ef6fd2956a9b6e1e50ad6cd5b3b798dcd6906bcd934ca0762
MD5 7839767670dc140b578a704fc9793376
BLAKE2b-256 dddde33895ced17a9801f2a4ee2c984f511c44523ee48c2a14c79ad465972aa5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page