![]() You can load the python 2 version or the python 3 version of intel python with These modifications have also been incorporated in the intel- PACKAGES included in the regular python modules discussed above, but with Intel Python, you also get the conda command. Intel has modified the package, and optimized the libraries to use the MKL libraries, which should make them faster than the Anaconda modules for some calculations. The Intel Python modules are based on the Anaconda package, a python distribution that aims to simplify package management. This was wasteful in terms of storage and has occasional led to quota issues, so we highly recommend using the NiaEnv/2019b packages, which is the default since September 1, 2020.Īdditional packages in these module should be installed in virtual environments. In the previous NiaEnv/2018a stack, the regular python versions did not have these packages, and users needed to install them in their own home directory. In addition, the python/3.8.5 module also has dask installed. In the Niagara Software Stack version 2019b, i.e., NiaEnv/2019b, the specific versions are 2.7.15 and 3.8.5, so you can load python 2 or python 3 usingīoth these installations come with the following optimized python packages preinstalled: Such distributions do not play well with the rest of the software stack, so the 'regular' python modules should be your first choice. We call these 'regular' python versions because they are not dependent on other distribution mechanisms like (ana)conda. Python versions 2.7 and 3.6, 3.7, and 3.8 have been installed from source and are optimized for Niagara. If you do not, you are using the 2018a stack whose python setup is less optimal. Note that it is highly recommended that you use the NiaEnv/2019b stack by loading the corresponding module, ie.: ![]() Here we describe the differences between these packages. We currently have two families of Python installed on Niagara. 5 Producing Matplotlib Figures on Niagara Compute Nodes and in Job Scripts.4.2 Running Jupyter on a Niagara Compute Node.2.3 Installing the Scientific Python Suite.2.2 Using Virtual Environments in Intelpython/Anaconda. ![]()
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