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Because of network latency between the remote cloud server and the local client, response to user keystrokes is delayed. To address this, running an octave kernel in Jupyter notebook is useful.
Because of network latency between the remote cloud server and the local client, response to user keystrokes is delayed. Running an octave kernel in Jupyter notebook avoids this because the local browser responds to keystrokes during editing.

Revision as of 22:52, 22 March 2019

Octave on Public Clouds

For installing the latest released stable Octave version and running it on instances on public clouds such as Amazon AWS.

AWS EC2

On AWS EC2, on public official Ubuntu AMI

Ubuntu LTS 16.04 LTS

Ubuntu LTS 18.04 LTS

Jupyter Notebook on Public Cloud

Because of network latency between the remote cloud server and the local client, response to user keystrokes is delayed. Running an octave kernel in Jupyter notebook avoids this because the local browser responds to keystrokes during editing.