| title | toc |
|---|---|
X-CITE training materials |
false |
X-CITE (CyberInfrastructure Training and Education for Synchrotron X-Ray Science) develops training materials for the community of scientists and researchers using the CHESS synchrotron X-ray facility and similar light sources.
This is the training overview:
- PE 100: Python Programming and Jupyter notebooks
- PE 101: Using Python packages & libraries, Conda
- PE 102: Numerical data analysis with Python
- PE 103: Software version control, testing, and debugging
- SF 100: Intro to Linux, commandline, and scripting
- SF 101: Containers and virtualization 🚧
- SF 200: Parallel computing concepts 🚧
- SF 201: Batch systems and compute farms with CHESS example 🚧
- DC 100: Distributed computing concepts 🚧
- DC 101: Scientific workflow management 🚧
- DC 102: Using science gateways with Open OnDemand example 🚧
- DC 200: Computing with CI ecosystem - ACCESS, PATh, Campus, Cloud 🚧
- XS 100: Data collection, preparing input parameters, SPEC and CLI
- XS 101: Basic / on-the-fly data analysis, viewing detector images
- XS 102: Large-scale data analysis: from images to science parameters to interpretation 🚧
- XS 200: Metadata for data fidelity and systematic checks 🚧
- CF 100: Intro to domain metadata standards, formats and repositories 🚧
- CF 101: Best practices for developing DMP 🚧
- CF 102: Metadata annotation and DOI 🚧
- CF 200: Curating data, code, workflows, and publishing 🚧