Documentation
see cloudmesh.cmd5
$ pip install cloudmesh-jupyter
$ cms help jupyter
cms jupyter
Usage:
jupyter start USER HOST PORT [DIR]
jupyter tunnel USER HOST PORT
jupyter stop USER HOST
jupyter open PORT
This command can start a jupyter notebook on a remote machine and
use it in your browser.
Arguments:
USER The username on the remote machine
HOST The hostname of the remote machine
PORT The port of the remote machine
DIR The directory where the notebooks are located
Description:
Step 1: Setting up a .bash_profile file
If you have your python venv set up you need to add it to the
.bash_profile on your remote machine. A possible
profile file could look as follows:
if [ -f ~/.bash_aliases ]; then
. ~/.bash_aliases
fi
export PATH=$HOME/ENV3/bin:$PATH
source $HOME/ENV3/bin/activate
Step 2: Start the remote notebook server in a terminal
Note: After the start you will not be able to use that terminal
cms jupyter start USER HOST PORT
Thsi command will aslo establich an SSH tunel and open in
the web browser jupyter lab
Metadata
Release files for cloudmesh-jupyter 4.3.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cloudmesh-jupyter-4.3.4.tar.gz | 5.7 kB | Without provenance | Details for cloudmesh-jupyter-4.3.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cloudmesh_jupyter-4.3.4-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for cloudmesh_jupyter-4.3.4-py2.py3-none-any.whl |
Total release size: 11.8 kB
Release files / cloudmesh-jupyter-4.3.4.tar.gz
| Download URL | cloudmesh-jupyter-4.3.4.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8a95e664f38e9f23b555a21019e943b68a730eebc8ca048f49e562b9c5551455
|
|
BLAKE2b-256 checksum How to use checksums |
5f2b70dba2f49e04d49f225d5f00d5189090deea09d26f8f7734e4fccfea9f2b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.3.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
|
Release files / cloudmesh_jupyter-4.3.4-py2.py3-none-any.whl
| Download URL | cloudmesh_jupyter-4.3.4-py2.py3-none-any.whl |
|---|---|
| Size | 6.1 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
88ed3fdbfe0987084c66236ea49c812967f34839274ff78117d64fa33320891b
|
|
BLAKE2b-256 checksum How to use checksums |
46b00740823c3e48c4aff227588caed8644af35bb32bc80d1b5ec3db2cc0e53a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.3.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
|
Security for cloudmesh-jupyter 4.3.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.