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Developer qualifications

Platform user track​

  • Import data (db, local files, file shares, webservices)
  • Explore (viewers, selection vs filter, filters, layouts)
  • Grid (actions, color-coding, summary columns, tooltips, context panel)
  • Editing (in-place, batch edit, )
  • Tabular transformations (aggregate, unpivot, join, link)
  • Transformations (editing, add/remove rows/columns, add new column, functions)
  • Create, publish, and share dashboards

Common track​

  • Explain what Datagrok is (product/platform, data science pyramid of needs)
  • Create, publish, and share packages
  • Create, deploy, and use package content (connections, queries, scripts, files)
  • Understand extensibility points (file handlers, renderers, actions, viewers, etc)
  • Develop UI (apps, views, inputs)
  • Access data (databases, webservices, files)
  • Scientific computations (R, Python, Matlab)
  • Visualize (concepts, built-in charts)
  • Work with dataframes (load, parse, create, aggregate, manipulate)
  • Use DevTools (event viewer, profiler, test manager)
  • Know where to get help (wiki, community, API reference, samples, YouTube)
  • Explain all points above

Cheminformatics track​

  • Concepts
  • Rendering (canvas/svg, alignment, highlighting, options)
  • Sketchers
  • Fingerprints
  • Substructure search
  • Similarity search
  • Public datasets (Chembl, Drugbank, )
  • Predictive modeling (chemprop)
  • RDKit cartridge
  • Use existing tools (activity cliffs, similarity/diversity browsers)
  • Explain all points above

Machine learning track​

  • Use the built-in model builder
  • Custom ML models

See also: