Instead, start from one of the intelpython modules and use conda environments, or, even better, start from a regular python module and create a virtualenv in which you can install your own packages. We advice against installing your own anaconda or miniconda in your home directory. In the NiaEnv/2019b stack, we no longer provide anaconda modules, but we do have aliases conda2 and conda3 for intelpython2 and intelpython3. If your are looking for anaconda or miniconda, you should find that intelpython is a good substitute. And conda being a package manager on its own means that it does not always work well in combination with the rest of the software stack. Packages in this module can be installed in so-called conda environments (see below), although virtualenv also works.Ī word of caution: conda environment are very wasteful when it comes to the number of files that they store in your home directory, and there is a good chance you will hit your quote of 250,000 files with only a few conda environments. 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.Latest Miniconda Installer Links ¶ Latest - Conda 23.5.2 Python 3.11. Which does require administrator permissions. However, if you need to, you can install Miniconda system wide, Which does not require administrator permissions and is the most robust type of On Windows, macOS, and Linux, it is best to install Miniconda for the local user, Minimum 400 MB disk space to download and install.The linux-aarch64 Miniconda installer requires glibc >=2.26 and thus will not work with CentOS 7, Ubuntu 16.04, or Debian 9 (“stretch”).System architecture: Windows- 64-bit x86, 32-bit x86 macOS- 64-bit x86 & Apple M1 (ARM64) Linux- 64-bit x86, 64-bit aarch64 (AWS Graviton2), 64-bit IBM Power8/Power9, s390x (Linux on IBM Z & LinuxONE).If your operating system is older than what is currently supported, you can find older versions of the Miniconda installers in our archive that might work for you.Operating system: Windows 10 or newer, 64-bit macOS 10.13+, or Linux, including Ubuntu, RedHat, CentOS 7+, and others.License: Free use and redistribution under the terms of the EULA for Miniconda.
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