X-CITE training materials

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:

Theme 1: Programming Fundamentals

• 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

Theme 2: Systems Fundamentals

• SF 100: Intro to Linux, the command line, and programming in Python
• SF 101: Containers and virtualization
• SF 200: Parallel computing concepts
  
• SF 201: Batch systems and compute farms with CHESS example

Theme 3: Distributed Computing and the CI Ecosystem

• 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

Theme 4: X-Ray Science S&E Software

• 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

Theme 5: Data Curation and FAIR

• CF 100: Intro to domain metadata standards, formats and repositories
• CF 101: Best practices for developing DMP (Data Mgmt Plans)
• CF 102: Metadata annotation and DOI
• CF 200: Curating data, code, workflows, and publishing

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