Difference between revisions of "Software:python"
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| − | == | + | == Python(Under Construction) == |
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| − | + | * '''Default Version''': 3.5.4 | |
| − | * ''' | + | * '''Latest Version''' : 3.8.2 |
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| − | * ''' | + | |
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| − | + | Python is an interpreted, interactive, object-oriented programming language and was first published in 1991. Python design philosophy emphasized on readability of the code and easy-to-use syntax. The programming language comes with a standard library along with an extensive list of third-party packages, and is in part responsible for its popularity. On Frontenac cluster, python is available as a module. You can load the default version of the Python using module load command. | |
| − | + | <pre> | |
| − | + | $ module load python | |
| − | + | </pre> | |
| + | Often you are required to load a specific version of python. Use the following command to load a specific version of python, say 3.7.4: | ||
| + | <pre> | ||
| + | $ module load python/3.7.4 | ||
| + | </pre> | ||
| + | All the available version of python on Frontenac cluster can be list using ‘module avail’ command, this list will include both python/2.x and /3.x versions. | ||
| + | <pre> | ||
| + | $ module avail python | ||
| + | </pre> | ||
| + | |||
| + | Some commonly used python packages are available through scipy-stack environment modules. This includes: ''Numpy, Scipy, Matplotlib,IPython, pandas, Sympy'' and ''nose''. Similar to the python modules, different versions of the Scipy modules are available. The latest version of the Scipy-stack(scipy-stack/2019a) can be loaded with the following command: | ||
| + | |||
| + | <pre> | ||
| + | $ module load scipy-stack | ||
| + | </pre> | ||
| + | == Installation of python packages using virtualenv == | ||
| + | |||
| + | Often, you might require additional packages other than the ones available in scipy-stack. Given the diverse user requirements, it is not practical to install all the necessary packages in a central stack. Python modules on our cluster comes with a virtualenv tool to install and manage packages necessary for your project. Typically, we recommend creating virtual environment in your $HOME directory. ALternatively, you can also install it in $PROJECT directory to make it available for other members of your group. As an example, the following steps shows the installation of biopython package in your $HOME/.local directory using virtualenv. | ||
Revision as of 19:06, 19 October 2021
Python(Under Construction)
|
Python is an interpreted, interactive, object-oriented programming language and was first published in 1991. Python design philosophy emphasized on readability of the code and easy-to-use syntax. The programming language comes with a standard library along with an extensive list of third-party packages, and is in part responsible for its popularity. On Frontenac cluster, python is available as a module. You can load the default version of the Python using module load command.
$ module load python
Often you are required to load a specific version of python. Use the following command to load a specific version of python, say 3.7.4:
$ module load python/3.7.4
All the available version of python on Frontenac cluster can be list using ‘module avail’ command, this list will include both python/2.x and /3.x versions.
$ module avail python
Some commonly used python packages are available through scipy-stack environment modules. This includes: Numpy, Scipy, Matplotlib,IPython, pandas, Sympy and nose. Similar to the python modules, different versions of the Scipy modules are available. The latest version of the Scipy-stack(scipy-stack/2019a) can be loaded with the following command:
$ module load scipy-stack
Installation of python packages using virtualenv
Often, you might require additional packages other than the ones available in scipy-stack. Given the diverse user requirements, it is not practical to install all the necessary packages in a central stack. Python modules on our cluster comes with a virtualenv tool to install and manage packages necessary for your project. Typically, we recommend creating virtual environment in your $HOME directory. ALternatively, you can also install it in $PROJECT directory to make it available for other members of your group. As an example, the following steps shows the installation of biopython package in your $HOME/.local directory using virtualenv.
