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Keywords: Python 

Training materials on scientific Python programming and silx libraries.

This repository contains some training materials on scientific Python programming and silx libraries. General topics: * Introduction to Python and numpy * Software engineering tools and tips for Python silx trainings: * Features of the silx toolkit * Introduction to Fable Input/Output...

Keywords: Python, Silx, data analysis, data reduction, data visualisation

Training materials on scientific Python programming and silx libraries. https://pan-training.eu/materials/training-materials-on-scientific-python-programming-and-silx-libraries This repository contains some training materials on scientific Python programming and silx libraries. General topics: * Introduction to Python and numpy * Software engineering tools and tips for Python silx trainings: * Features of the silx toolkit * Introduction to Fable Input/Output (aka. fabio) library" Python, Silx, data analysis, data reduction, data visualisation
Tomwer – add a python script

Tutorial on how user can add their own processing into the workflow through a python script (advanced usage).

Scientific topics: tomography

Keywords: tomography, tomotools, tomwer, nabu, Python, canvas

Resource type: video

Tomwer – add a python script https://pan-training.eu/materials/tomwer-add-a-python-script Tutorial on how user can add their own processing into the workflow through a python script (advanced usage). tomography tomography, tomotools, tomwer, nabu, Python, canvas
TANGO tutorials

Documentation and tutorials to understand what Tango Controls is, guide your first steps as a user, developer or administrator of Tango.

Keywords: synchrotron control, TANGO, c++, Python, tango-controls, arduino, scada

Resource type: documenation

TANGO tutorials https://pan-training.eu/materials/tango-tutorials Documentation and tutorials to understand what Tango Controls is, guide your first steps as a user, developer or administrator of Tango. synchrotron control, TANGO, c++, Python, tango-controls, arduino, scada
Full-field Tomography at PSI

This workflow has some details on the instrument the data is produced from (TOMCAT beamline) and the infrastructure PSI has concerning their data. If you are more interested in the science and want to reproduce the data and not bother with the surrounding details/context, please refer to the...

Keywords: synchrotron, imaging, Jupyter notebooks, Python, Pulmonary arterial hypertension

Resource type: workflow

Full-field Tomography at PSI https://pan-training.eu/materials/full-field-tomography-at-psi This workflow has some details on the instrument the data is produced from (TOMCAT beamline) and the infrastructure PSI has concerning their data. If you are more interested in the science and want to reproduce the data and not bother with the surrounding details/context, please refer to the Pulmonary arterial hypertension research workflow. Full-field Tomography at PSI Tomography datasets often present large volumes (100 GBs - few TBs) difficult to compress and transfer. The tomographic reconstruction is highly demanding on compute (GPU) and storage resources for the intermediate and/or final result. In addition, the optional image segmentation step may be demanding on computer memory. The offline analysis (after experiment) could be performed remotely by users at home making it attractive for deployment as a cloud-like use case. Finally, this technique is applied at many facilities and in different scientific domains - therefore a portable result is more useful. This entire process is illustrated with a typical experiment. synchrotron, imaging, Jupyter notebooks, Python, Pulmonary arterial hypertension research data scientist life scientists
Python Laser Image Visualization

Tool showing pictures from different cameras (directories) in a grid and a stepwise counter-based scroll functionality. Most of the layout and (future) filter options are defined by command line to allow an easy integration into an workflow based on CWL, OWL (or Knime). In future developments...

Keywords: Python, Laser, Visualization, Cameras, Laser Ion Acceleration, Qt5

Resource type: software, git

Python Laser Image Visualization https://pan-training.eu/materials/python-laser-image-visualization Tool showing pictures from different cameras (directories) in a grid and a stepwise counter-based scroll functionality. Most of the layout and (future) filter options are defined by command line to allow an easy integration into an workflow based on CWL, OWL (or Knime). In future developments most of the parameters can be changed interactive and saved to a json file which can be used to describe the next workflow inputs, so that an interactive workflow development is possible. Python, Laser, Visualization, Cameras, Laser Ion Acceleration, Qt5 PaN Community Photon Community