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DTSTAMP:20260616T125123Z
UID:429d30c7-1c22-4016-a08a-5dccb31d97c6
DTSTART:20241112T090000Z
DTEND:20241112T170000Z
DESCRIPTION:## Overview\nIf a picture is worth a thousand words\, then one 
 may say an interactive picture is worth a million. \n\nIn today's data-dri
 ven research environment\, interactive visualization is becoming an essent
 ial tool for effectively exploring and presenting complex datasets.  \n\nT
 his one-day streamed course is designed to provide you with a solid ground
 ing in this topic and help you get your bearings in this dynamic world. \n
 \nYou'll learn to select the right visualization tools for your needs\, cr
 eate and customize interactive plots using Python Plotly\, and develop web
 -based applications with Plotly-Dash. \n\nThese techniques will enable you
  to make your data exploration more intuitive and your findings easier to 
 share. Enhance your research with clear\, interactive visualizations and i
 mprove your ability to communicate scientific insights effectively. \n\n \
 n\n| go from non-interactive plot |  to interactive plots with plotly  | a
 nd then add even more interactivity with plotly-dash  | \n|:------:|:-----
 ---:|:--------:| \n|   |  |  | \n\n \n\n## Audience\nThis intermediate lev
 el course is addressed to biologists\, bioinformaticians\, and other compu
 tational scientists which use python in their research and would like to e
 nhance their data exploration and presentation capabilities with interacti
 ve plots. \n\n \n\n## Learning outcomes\nAt the end of the course\, the pa
 rticipants should be able to: \n\n* Compare and choose the most relevant i
 nteractive visualization technical solution based on their needs and means
 \, from simple interactive plots\, complex static html pages using web ass
 embly\, to full-blown dash apps \n\n* Create simple interactive plots and 
 tune them to make them useful for scientific data exploration with python 
 plotly \n\n* Enrich visualizations with interactive elements while keeping
  them easy to share as simple html files with python plotly or web assembl
 y \n\n* Develop web server-based data visualization applications with plot
 ly-dash \n\n\n## Prerequisites\n##### Knowledge / competencies\nParticipan
 ts should be fluent in the python programming language\, including a worki
 ng knowledge of standard data-analysis libraries such as numpy and pandas.
  \n\nA basic knowledge of standard python plotting libraries (matplotlib\,
  seaborn) as well as some basic HTML elements  would be a plus. \n\n##### 
 Technical\nYour laptop must have a recent Python version (minimum 3) and s
 everal Python libraries installed. The needed libraries will be indicated 
 in the course  [GitHub repo](https://github.com/sib-swiss/intermediate-pyt
 hon-training/tree/master/course3). \n\n## Schedule - CET time zone\nThe sc
 hedule and course materials are/will be on the dedicated [GitHub page](htt
 ps://github.com/sib-swiss/intermediate-python-training/tree/master/course3
 ). \n\n## Application\nRegistration fees are **100 CHF** for academics and
  **500 CHF** for for-profit companies. \n\nWhile participants are register
 ed on a first come\, first served basis\, exceptions may be made to ensure
  diversity and equity\, which may increase the time before your registrati
 on is confirmed. \n\nApplications will close as soon as the places will be
  filled up\, until [*22/10/2024*]. Deadline for free-of-charge cancellatio
 n is set to [*29/10/2024*]. Cancellation after this date will not be reimb
 ursed. Please note that participation in SIB courses is subject to our [ge
 neral conditions](https://www.sib.swiss/training/terms-and-conditions). \n
 \nYou will be informed by email of your registration confirmation. Upon re
 ception of the confirmation email\, participants will be asked to confirm 
 attendance by paying the fees within 5 days. \n\n## Venue and Time\nThis c
 ourse will be streamed via Zoom. \n\nThe course will start at 9:00 and end
  around 17:00 CET. Precise information will be provided to the participant
 s in due time. \n\n\n## Additional information\nCoordination: Diana Marek\
 , SIB Training group\n\nHelper: Jeferyd Yepes García\, BUGFri\, Universit
 y of Fribourg\n\nWe will recommend 0.25 ECTS credits for this course (give
 n a passed exam at the end of the course). \n\nYou are welcome to register
  to the SIB courses mailing list to be informed of all future courses and 
 workshops\, as well as all important deadlines using the form [here](https
 ://lists.sib.swiss/postorius/lists/courses.lists.sib.swiss/). \n\nPlease n
 ote that participation in SIB courses is subject to our [general condition
 s](https://www.sib.swiss/training/terms-and-conditions). \n\nSIB abides by
  the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-con
 duct). Participants of SIB courses are also required to abide by the same 
 code. \n\nFor more information\, please contact [training@sib.swiss](mailt
 o://training@sib.swiss).
SUMMARY:Interactive Visualisation with Python
URL;VALUE=URI:https://www.sib.swiss/training/course/20241112_IVIPY
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