iPython Reshaping Education and Research
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iPython Reshaping Education and Research

Changing the educational process for new scientists
https://ipython.org/_static/sloangrant/sloan-grant.pdf

  • • Individual exploration: a single investigator tests an idea, algorithm or question, likely with a small-scale test data set or simulation.
  • • Collaboration: if the initial exploration appears promising, more often than not some kind of collaborative effort ensues.
  • • Production-scale execution: large data sets and complex simulations often require the use of clusters, supercomputers or cloud resources in parallel.
  • • Publication: whether as a paper or an internal report for discussion with colleagues, results need to be presented to others in a coherent form.
  • • Education: ultimately, research results become part of the corpus of a discipline that is shared with students and colleagues, thus seeding the next cycle of research.
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