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DTSTAMP:20260616T090459Z
UID:b6fd6f46-c582-47e2-ae5b-0a46b67a190e
DTSTART:20251118T090000Z
DTEND:20251118T170000Z
DESCRIPTION:The recordings of this course are available on YouTube:\n[Inter
 active Visualization with Python](https://www.youtube.com/playlist?list=PL
 xHnvy2HZSYnz-aauumQdr4Xbq40HW2e9)\n \n\n## Overview\nIf a picture is worth
  a thousand words\, then one may say an interactive picture is worth a mil
 lion. \n\nIn today's data-driven research environment\, interactive visual
 ization is becoming an essential tool for effectively exploring and presen
 ting complex datasets.  \n\nThis one-day streamed course is designed to pr
 ovide you with a solid grounding in this topic and help you get your beari
 ngs in this dynamic world. \n\nYou'll learn to select the right visualizat
 ion tools for your needs\, create and customize interactive plots using Py
 thon Plotly\, and develop web-based applications with Plotly-Dash. \n\nThe
 se techniques will enable you to make your data exploration more intuitive
  and your findings easier to share. Enhance your research with clear\, int
 eractive visualizations and improve your ability to communicate scientific
  insights effectively. \n\n \n\n| go from non-interactive plot |  to inter
 active plots with plotly  | and then add even more interactivity with plot
 ly-dash  | \n|:------:|:--------:|:--------:| \n|   |  |  | \n\n \n\n## Au
 dience\n\nThis course is designed for PhD students\, postdoctoral and othe
 r researchers in the life sciences from both academia and industry who use
  python in their research and would like to enhance their data exploration
  and presentation capabilities with interactive plots.\n \n\n## Learning o
 utcomes\nAt the end of the course\, the participants should be able to: \n
 \n* Compare and choose the most relevant interactive visualization technic
 al solution based on their needs and means\, from simple interactive plots
 \, complex static html pages using web assembly\, to full-blown dash apps 
 \n\n* Create simple interactive plots and tune them to make them useful fo
 r scientific data exploration with python plotly \n\n* Enrich visualizatio
 ns with interactive elements while keeping them easy to share as simple ht
 ml files with python plotly or web assembly \n\n* Develop web server-based
  data visualization applications with plotly-dash \n\n\n## Prerequisites\n
 ##### Knowledge / competencies\nParticipants should be fluent in the pytho
 n programming language\, including a working knowledge of standard data-an
 alysis libraries such as numpy and pandas. \n\nA basic knowledge of standa
 rd 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 several Python libraries installed
 . The software installation and the  needed libraries are indicated in the
  course  [GitHub repo](https://github.com/sib-swiss/intermediate-python-tr
 aining/blob/main/README.md). \n\n## Schedule - CET time zone\nThe schedule
  and course materials are/will be on the dedicated [GitHub page](https://g
 ithub.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 registered on 
 a first come\, first served basis\, exceptions may be made to ensure diver
 sity and equity\, which may increase the time before your registration is 
 confirmed. \n\nApplications will close on **11/11/2025** or as soon as the
  places will be filled up. Deadline for free-of-charge cancellation is set
  to **05/11/2025**. Cancellation after this date will not be reimbursed. \
 n\nYou will be informed by email of your registration confirmation. Upon r
 eception of the confirmation email\, participants will be asked to confirm
  attendance by paying the fees within 5 days. \n\n## Venue and Time\nThis 
 course will be streamed via Zoom. \n\nThe course will start at 9:00 and en
 d around 17:00 CET. Precise information will be provided to the participan
 ts in due time. \n\n\n## Additional information\nCoordination: Diana Marek
 \, SIB Training group\n\nHelper: Jeferyd Yepes\n\nWe will recommend 0.25 E
 CTS credits for this course (given a passed exam at the end of the course)
 . \n\nYou are welcome to register to the SIB courses mailing list to be in
 formed of all future courses and workshops\, as well as all important dead
 lines using the form [here](https://lists.sib.swiss/postorius/lists/course
 s.lists.sib.swiss/). \n\nPlease note that participation in SIB courses is 
 subject to our [general conditions](https://www.sib.swiss/training/terms-a
 nd-conditions). \n\nSIB abides by the [ELIXIR Code of Conduct](https://eli
 xir-europe.org/events/code-of-conduct). Participants of SIB courses are al
 so required to abide by the same code. \n\nFor more information\, please c
 ontact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Interactive Visualisation with Python
URL;VALUE=URI:https://www.sib.swiss/training/course/20251118_IVIPY
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