Change to the new Python directory for example:.Extract the archived files for example:.
#Python virtual environment download#
Download the desired version for example:.Packages in your virtual environment require system libraries that are absent.Īny currently loaded modules, as well as the PYTHONPATH and LD_LIBRARY_PATH environment variables, will affect your virtual environment.Conflicts exist between packages in your virtual environment and packages in the system-wide Python build.Various use cases may require further modifications to the Python environment.
#Python virtual environment install#
When using pip to add packages to your virtual environment, you do not need the -user option because Virtualenv creates your own Python build, with its own site-packages directory, you can install whatever packages you want into it.Īlternatively, you can give your virtual environment access to the system-wide site-packages directory by using virtualenv with the -system-site-packages option for example: python -m venv -system-site-packages genomicsPythonįor more about adding Python packages, see Install Python packages on the research supercomputers at IU. Once your virtual environment is activated, you can use pip or setup.py to install additional Python packages to its site-packages directory (for example, following the above examples, ~/genomicsPython/lib/python3.8/site-packages). To undo these changes and switch back to the original Python build, at the virtual environment shell prompt, enter deactivate for deactivate your Python space.Consequently, entering which python on the modified shell prompt should return the path to your virtual build for example, on Big Red which python /geode2/home/u010/bkyloren/Big Red 200/genomicsPython/bin/python Modify your shell prompt to indicate which environment is currently active for source genomicsPython/bin/activate Change your $PATH environment variable so its first entry is your virtual environment's bin directory.To switch to your virtual Python environment (for example, genomicsPython), enter:.Install pip and setuptools, which you can use to install additional packages within the virtual environment.Create a new Python build (based on the currently loaded version) in the new subdirectory.Create a new subdirectory (for example, genomicsPython) within the current directory.Make sure to give it a name that differentiates it from other Python builds. Use the python -m venv command to create your new virtual environment.Make sure the desired Python version is added to your user environment for instructions, see the Set up your user environment section of Use Python on IU research supercomputers.Your home directory is a good option, because it is backed up and persistent. Navigate to the directory where you want to create your new Python build.Following are instructions for using Virtualenv to set up and customize personal Python spaces on IU's research supercomputers.įor more about Virtualenv in general, see the Virtualenv User Guide. The decision to use one over the other is purely one of personal preference.Īt Indiana University, most versions of Python available on the research supercomputers include the virtualenv package.
However, it differs from Anaconda in the way it implements this personalized environment. It is similar to Anaconda in that it creates a small, personalized Python environment that can either share certain aspects of the current Python build or be completely isolated from it. Virtualenv is a package that simplifies the process of installing other packages. Python is flexible in the ways you can set it up and extend its functionality.
0 kommentar(er)
