Skip to content

Python Data

Collection of Python libraries for data analytics and machine learning.

News

28.10.2022 Module python-data/3.8 was added for those who specifically need Python 3.8.

5.10.2022 Together with Puhti's update to Red Hat Enterprise Linux 8 (RHEL8), we removed some old versions of Python Data, including all (previously deprecated) conda-based versions. We also changed the version naming of the modules. Please contact our servicedesk if you really need access to older versions.

5.5.2022 Due to Mahti's update to Red Hat Enterprise Linux 8 (RHEL8), older versions of Python Data are no longer fully supported. Please contact our servicedesk if you really need access to older versions.

4.2.2022 All old Python Data versions which were based on direct Conda installations have been deprecated, and we encourage users to move to newer versions. Read more on our separate Conda deprecation page.

Available

Versions are numbered as X.Z-YY.MM, where X.Z is the version of the Python interpreter, and YY.MM is the year and month of the installation. Typically the module will include the newest versions of libraries at installation time, to the extent software dependencies allow.

Current versions are:

  • python-data/3.10-22.09 or python-data/3.10: installed in September 2022, includes for example Scikit-learn 1.1.2, SciPy 1.9.1, Pandas 1.4.4 and JupyterLab 3.4.6.
  • python-data/3.9-22.04 or python-data/3.9: installed in April 2022, includes for example Scikit-learn 1.0.2, SciPy 1.8.0, Pandas 1.4.2 and JupyterLab 3.3.4.
  • python-data/3.8-22.10 or python-data/3.8: added for those who specifically need Python 3.8.

Python-data tries to include a comprehensive selection of Python libraries for data analytics and machine learning, for example:

If you find that some package is missing, you can often install it yourself with pip install --user. See our Python documentation for more information on how to install packages yourself. If you think that some important package should be included in the module provided by CSC, please contact our servicedesk. Note that some machine learning frameworks have their own specific modules, for example: PyTorch, TensorFlow, JAX, and RAPIDS.

License

All packages are licensed under various free and open source licenses (FOSS).

Usage

To use this software on Puhti, initialize it with:

module load python-data

to access the default version, or if you wish to have a specific version (see above for available versions):

module load python-data/3.9-2022.04

If you just want the most recent version with a specific Python version, you can also run:

module load python-data/3.9

This will show all available versions:

module avail python-data

To check the exact packages and versions included in the loaded module you can run:

list-packages

Warning

Note that Puhti login nodes are not intended for heavy computing, please use slurm batch jobs instead. See our instructions on how to use the batch job system.

Please also check CSC's general Python documentation.

Local storage

Some nodes in Puhti have fast local storage which is useful for IO-intensive applications. See our general instructions on how to take the fast local storage into use.


Last update: February 1, 2023