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Python Versions and Module Files
The HLRN-IV provides two Anaconda Python distributions. Many packages and Python extensions are available in Anaconda base installations by default. Some packages have been added manually upon user request, please see the table below.We provide several Anaconda Python installations.
Emmy:
- Python version 2.7.16 (from Anaconda 2019.03):
module load anaconda2/2019.03 - Python version 3.7.3 (from Anaconda 2019.03):
module load anaconda3/2019.03 - Python version 3.8.5 (from Anaconda 2020.11):
module load anaconda3/2020.11
Lise:
- Python version 2.7.16 (from Anaconda 2019.10):
module load anaconda2/2019.10 - Python version 3.7.4 (from Anaconda 2019.10):
module load anaconda3/2019.10
| Info |
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Even when none of the Python modules is loaded, Python can still be invoked. In this case, version 2.7.5 of Python is used which is available as part of the operating system on all HLRN nodes. This version, however, is not actively maintained by HLRN staff – no version updates, no extensions. |
Many packages and Python extensions are available in Anaconda base installations by default. Some packages have been added manually upon user request, please see the table in the next section.
Installed Python Packages
| Info |
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The list of default packages for the python distributions can be found in the anaconda website: anaconda3/anaconda2 For a complete list of packages currently installed, please load one of the Anaconda modules, and then execute conda list |
Package | HLRN Python environment module (Emmy) | ||
|---|---|---|---|
| anaconda2/2019.03 | anaconda3/2019.03 | anaconda3/2020.11 | |
| NumPy | 1.16.2 | 1.16.2 | 1.19.2 |
| nose | 1.3.7 | 1.3.7 | 1.3.7 |
| SciPy | 1.2.1 | 1.2.1 | 1.5.2 |
| matplotlib | 2.2.3 | 3.0.3 | 3.3.2 |
| SIP | 4.19.8 | 4.19.8 | 4.19.13 |
| PyQt | 5.9.2 | 5.9.2 | 5.9.2 |
| pycairo | 1.18.0 | 1.18.1 | 1.19.1 |
| PyGTK | 2.24.0 | ||
| wxPython | 4.0.4 | 4.0.4 | |
| PyYAML/LibYAML | 5.1/0.1.7 | 5.1/0.1.7 | 5.3.1 |
| lxml | 4.3.2 | 4.3.2 | 4.6.1 |
| docutils | 0.14 | 0.14 | 0.16 |
| Sphinx | 1.8.5 | 1.8.5 | 3.2.1 |
| iPython | 5.8.0 | 7.4.0 | 7.19 |
| SQLite | 3.27.2 | 3.27.2 | 3.33.0 |
| VTK | 6.3.0 | ||
| netcdf4-python | 1.4.2 | 1.4.2 | 1.5.3 |
| basemap | 1.2.0 | 1.2.0 | 1.2.0 |
| Mako | 1.0.9 | 1.0.9 | 1.1.4 |
| h5py | 2.9.0 | 2.9.0 | 2.10 |
| scikit-image | 0.14.2 | 0.14.2 | 0.17.2 |
| Cython | 0.29.6 | 0.29.6 | 0.29.21 |
| pytest | 4.3.1 | 4.3.1 | 6.1.1 |
| pandas | 0.24.2 | 0.24.2 | 1.1.3 |
| GDAL | 2.0.0 | ||
| Shapely | 1.6.4 | 1.6.5 | 1.7.1 |
| yt | 3.4.1 | 3.4.1 | 3.6.1 |
| xarray | 0.11.3 | 0.12.1 | 0.17.0 |
| datashader | 0.7.0 | 0.7.0 | 0.12.1 |
| pigz | 2.4 | 2.4 | 2.4 |
| Meson | 0.51.2 | 0.58.0 | |
| Ninja | 1.9.0 | 1.10.2 | |
| PyVista | 0.22.4 | ||
| Scooby | 0.4.3 | 0.5.7 | |
| libthoera | 1.1.1 | ||
| appdirs | 1.4.3 | 1.4.4 | |
| jsoncpp | 1.8.4 | 1.9.4 | |
| libogg | 1.3.2 | 1.3.4 | |
| libvorbis | 1.3.5 | 1.3.7 | |
| vtk | 8.2.0 | ||
| Info |
|---|
SciPy adn NumPy are linked against Intel MKL for performance optimization |
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