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Merge pull request #125 from RENCI-NRIG/escott-7
fixing formatting and grammar
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newsite/index.md

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@@ -16,15 +16,15 @@ practically essential for making the most of your beamline time and
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the analysis that follows after the fact.
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Below you'll find links to the training modules we have
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developed. These are grouped by general topic into "Themes". The first
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theme is named "Essential Elements" and is, as the name suggests,
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absolutely critical. Make certain you understand the material in that
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theme before you move on to the others, but once you cross this hurdle
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you can move through the other themes in any order. Some of the
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Essentials topics may be old hat to you (Python programming, for
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instance) while other are highly CHESS-specific (Data Collection).
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developed. These are grouped by general topic into themes; the first
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is named "Essential Elements" and is absolutely critical. Make certain
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you understand the material in that section before you move on to the
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others, but once you cross this hurdle you can move through the other
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collections in any order. Some of the Essentials topics may be old hat
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to you (Python programming, for instance) while others are highly
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CHESS-specific - Data Collection, for instance.
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## Theme 0: Essential Elements
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## Essential Elements
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- XS 100: [Data collection, preparing input parameters, SPEC and
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CLI][xs100]
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## Theme 1: Programming Fundamentals
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## Programming Fundamentals
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- PE 101: [Using Python packages & libraries, Conda][pe101]
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- PE 102: [Numerical data analysis with Python][pe102]
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- PE 103: [Software version control][pe103-vcs],
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[testing][pe103-testing], and [debugging][pe103-debugging]
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## Theme 2: Systems Fundamentals
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## Systems Fundamentals
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- SF 101: [Containers and virtualization][sf101]
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- SF 200: [Parallel computing concepts][sf200]
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- SF 201: [Batch systems and compute farms with CHESS example][sf201]
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## Theme 3: Distributed Computing and the CI Ecosystem
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## Distributed Computing and the CI Ecosystem
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- DC 100: [Distributed computing concepts][dc100]
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- DC 101: [Scientific workflow management][dc101]
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- DC 102: [Using science gateways with Open OnDemand example][dc102]
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- DC 200: [Computing with CI ecosystem - ACCESS, PATh, Campus][dc200]
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## Theme 4: X-Ray Science S&E Software
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## X-Ray Science S&E Software
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- XS 102: [Large-scale data analysis: from images to science
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parameters to interpretation][xs102]
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- XS 200: [Metadata for data fidelity and systematic checks][xs200]
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## Theme 5: Data Curation and FAIR
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## Data Curation and FAIR
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- CF 100: [Intro to domain metadata standards, formats and repositories][cf100]
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- CF 101: [Best practices for developing DMP][cf101]

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