Check whether your user environment has a version of Python loaded already on the command line, enter:.For this reason, conda environments can be large.
ANACONDA INSTALL PACKAGE TO ENVIRONMENT SOFTWARE
Within this environment, you can install and delete as many conda packages as you like without making any changes to the system-wide miniconda module.Ĭonda will attempt to resolve any conflicting dependencies between software packages and install all dependencies in the environment. Create a conda environment and install packagesįollow the steps below to create a conda environment.
ANACONDA INSTALL PACKAGE TO ENVIRONMENT HOW TO
For information on how to create a Slate account, see About Slate high performance storage for research computation at IU. In order to avoid exceeding your home directory disk quota, Research Technologies recommends you use the -p option to build your environments in your Slate directory, rather than your home directory tree. Named environments (those created with the -n option) are placed in a subdirectory of the. As a result, conda environments take up a large amount of disk space. Since Research Technologies installs many commonly used Python packages in the python and deeplearning modules, including numpy, pandas, tensorflow, pytorch, jupyter, and many others, check the Python and deeplearning modules before you install a Python package.Ĭonda installs virtually all dependencies, even system libraries that are a part of Research Technologies operating system installations. However, UITS Research Technologies installs and maintains many software packages on IU's research supercomputers, which users can access with module commands. I am trying to install packages from pip to a fresh environment (virtual) created using anaconda.Package managers can be helpful because they allow users to install packages and their dependencies locally with just one command. In the Anaconda docs it says this is perfectly fine. I created an empty environment in Ananconda like this: conda create -n shrink_venv It is done the same way as for virtualenv.Īctivate the environment where you want to put the program, then pip install a program. Requirement already satisfied (use -upgrade to upgrade): Pillow in /Library/Python/2.7/site-packages Problem is coming up, when I try to install a package using pip: (shrink_venv): pip install Pillow I then can see in the terminal that I am working in my env (shrink_venv).
So I can see it thinks the requirement is satisfied from the system-wide package. So it seems the environment is not working correctly, definitely not like it said in the docs. Output of which -a pip: /usr/local/bin/pip Just a note, I know you can use conda install for the packages, but I have had an issue with Pillow from anaconda, so I wanted to get it from pip, and since the docs say that is fine. What I have found is that the conda env doesn't play well with the PYTHONPATH.
The system seems to always look in the PYTHONPATH locations even when you're using a conda environment. Pip install, you can use the module flag -m with python so that it uses the anaconda python for the installation python -m pip install If you have a non-conda pip as your default pip but conda python is your default python (as below) >which -a pip Now, I always run unset PYTHONPATH when using a conda environment, and it works much better.
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