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#Edit python on linux server how to
#Edit python on linux server software
#Edit python on linux server code

Some of the python stacks have been built to enable GPU’s (these will have gpu or cuda in the module name), whereas most of python installs are CPU based. These include “base” python installs, miniconda and anaconda python stacks.

#Edit python on linux server software

Our HPC system has over 50 different versions of python available that can be loaded as part of a software module. It should be noted that it is most likely that the version of python you wish to use is not the default version available when you first log on to CQUniversity’s High Performance Computing facility. What versions of python are available on the HPC system? Deploying your own Conda python environment.Installing private modules / packages for individual use.Searching for a python module installed on our various HPC python software stacks.What do I do if there is a python module that appears to not be installed?.Transferring files to and from the HPC system.

#Edit python on linux server code

Running and editing python code via a terminal session.

Running and editing python code via a graphical interactive development environment (IDE).

What versions of python are available on the HPC system?.

This guide will provide the following instructions Spyder is the tool used within the QCIF software carpentry courses and is familiar by many users, thus spyder will be the IDE suggested in the help guides below.

#Edit python on linux server how to

It should be noted that this install guide will highlight how to use the “Spyder” python interactive development environment (IDE), this is not to suggest there are no others available nor is it the best solution for you. The following sections below will highlight these methods as well as how to transfer your python code to the HPC system and how to search for specific python modules across the many python versions installed on the HPC system. There are a variety of ways to use python on CQUniversity’s High Performance Computing system, including using a graphical interactive development environment (IDE), running python code interactively via the command line to submitting python jobs to the scheduler. Python is one of the most popular programming languages that is being used in a variety of research domains and appears to be extremely popular in the Machine Learning and Artificial Intelligence community. This instructional guide will provide you with many ways on how to use python on the CQUni HPC system.

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