![]() ![]() These environments allow one to install many versions of the same package, for example, or to compartmentalize a Python installation according to the needs of a specific project. This tool allows users to create virtual environments within which you can easily install Python packages. With each version of Python, we provide the tool virtualenv. To get a complete list of the packages contained in scipy-stack, along with their version numbers, run module spider scipy-stack/2020a (replacing 2020a with whichever version you want to find out about). If you want to use any of these Python packages, load a Python version of your choice and then module load scipy-stack. In addition to the base Python module, the SciPy package is also available as an environment module. See Troubleshooting.īelow is a table indicating when we stopped building wheels for each version of Python. This will result in dependencies issues when trying to install those packages with older versions of Python. ![]() In our case, we provide prebuilt Python packages in our wheelhouse only for the 3 most recent Python versions available on the systems. In general in the Python ecosystem, the transition to more modern versions of python is accelerating, with many packages only supporting the latest few versions of Python 3.x. To discover the versions of Python ~ ]$ module load python/3.10 If you are not sure which version you need, then it is reasonable to use the latest version available. You should try to find out which version of Python is required to run your Python programs and load the appropriate module. When you log into our clusters, a default Python version will be available, but that is generally not the one that you should use, especially if you need to install any Python packages. Loading an interpreter Default Python version The following sections discuss the Python interpreter, and how to install and use packages. However, most systems offer several versions of Python as well as tools to help you install the third-party packages that you need. In general, to simplify operations, it is left up to individual users and groups to install these third-party packages in their own directories. The capabilities of Python can be extended with packages developed by third parties. Python has an extensive, easy-to-use standard library. Python is an interpreted programming language with a design philosophy stressing the readability of code. ![]() 7.8 AttributeError: module ‘numpy’ has no attribute ‘X’.7.7 X is not a supported wheel on this platform.7.6 My virtual environment was working yesterday but not anymore.7.4 No matching distribution found for X.7.3 Package has requirement X, but you'll have Y which is incompatible.7.2 Package 'X' requires a different Python: X.Y.Z not in '>=X.Y'.4 Parallel programming with the Python multiprocessing module.3.2 Creating virtual environments inside of your jobs.3 Creating and using a virtual environment. ![]()
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