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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260807T234105Z
UID:e30710c9-95ef-4f9e-8f96-8df58a0efa67
DTSTART:20170516T090000Z
DTEND:20170519T000000Z
DESCRIPTION:\n\nCourse content\nNote: Lectures and exercises will take plac
 e May 16\, 17 and 19. May 18 is set aside for independent work (no lecture
  hall booked or TA:s present).\n\nThe course is built around Python philos
 ophy of being quick and clean (the so called Zen of Python) and thus assum
 es anything taking more than three days to learn is probably not worth the
  effort. In the first day it will start with a tutorial of Python as a lan
 guage\, and quickly inventory its uses as a general programming platform\,
  ranked number five after Java and C*\, along with basic devops. The secon
 d day is slightly more practical: a language is the sum of its third-party
  libraries\, plus how it handles on different platforms. You will make int
 roductory steps into the famous libs that made Python\, along with R\, the
  lingua-franca of data science\, and test it on different computing enviro
 nments. The third day it will be your effort that counts: you will pick on
 e real omics subject from a given task list or you will use Python in your
  project under our assistance.\n\nLearning outcomes\nAnyone thinking they 
 will master anything in only three days is of course naive. The three days
  of advanced Python will give you confidence in your abilities and hitch y
 ou higher on the learning curve\, least it will help you understand more a
 ccurately if you can become a master bioinformatician yourself or you need
  to hire one. If your need of Python is very specific (as I expect it shou
 ld) it will also set you on the right path to getting things done. An addi
 tional benefit is learning proper devops: how to handle your project\, how
  to use Git\, Jupyter and Docker\, cloud and GPU computing\, etc.\n\nEntry
  requirements\nThe course is primarily aimed at senior researchers or othe
 r professionals in biology\, biochemistry and bioinformatics. PhD students
  are also welcome as long as they have some programming basics and have an
  urgent need for Python in their research. Besides your initial ability wi
 th programming and Python we think that the nature of your interest for us
 ing it is what really counts. Do you need Python to solve real problems in
  your field? Do you want to improve the reproducibility of your research? 
 Are you passionate about computing and data science? Did you worked with N
 BIS before\, or planning to?\n\nSelection criteria\nSelection criteria inc
 lude correct entry requirements\, motivation to attend the course as well 
 as gender and geographical balance\n\nPlease apply here: https://www.scili
 felab.se/events/advanced-python-gbgvt17/ 
SUMMARY:Quick and clean: advanced Python for data science in biology
URL;VALUE=URI:https://www.scilifelab.se/events/advanced-python-gbgvt17/
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