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DTSTAMP:20260616T125123Z
UID:6d7dde65-da17-4a1b-9cab-9b258269b4e9
DTSTART:20200323T090000Z
DTEND:20200324T170000Z
DESCRIPTION:Educators:\nToby Hodges\, Renato Alves (HD-HuB)\n\nDate:\n23/03
 /2020 - 24/03/2020\n09:30 - 17:30\n\nLocation:\nOnline\n\nContents:\nThis 
 course provides an introduction to programming with the Python language. T
 he course material is suitable for complete beginners\, with no previous p
 rogramming experience or knowledge required or assumed. Participants can w
 ork through the course at their own pace\, so the materials are also suita
 ble for those with some programming experience.\n\nPython has grown in rec
 ent years to become one of the most widely-used programming languages in b
 iology. This increasing popularity reflects how easy Python is to learn co
 mpared with other languages\, and how adaptable it is to a wide variety of
  different tasks. Simultaneously\, the rise of data-driven approaches to s
 cience means that programming skills are becoming more and more important 
 for biologists.\n\nThe course will include several short taught sections b
 ut most of the time will be devoted to more informal\, practical sessions 
 allowing attendees to get to grips with the language at their own pace. Th
 is provides the perfect starting point for scientists who would like to be
 gin programming\, while also catering to more experienced programmers who 
 just want to learn the fundamentals of a new language.\n\nParticipants wil
 l learn:\n\n        -the basic concepts and building blocks of programming
  in Python\n        -how to quickly automate repetitive tasks and calculat
 ions\n        -the best ways of handling different types of data\n        
 -working with the extensive catalogue of subject-specific modules availabl
 e for Python\n        -how to read data from a file\, process\, and summar
 ise it\n        -automating the visualisation of data using Python’s pow
 erful plotting libraries\n\nLearning goals:\nAfter attending the course\, 
 you will have a good understanding of the core themes of programming\, and
  be able to write your own Python programs\, to automate repetitive analys
 is tasks.\n\nPrerequisities:\nWe do not expect the participants to have pr
 ior knowledge of scripting. This is a course for the researchers who are i
 nterested in learning the automation of their tasks such as dealing with a
  large number of files to carry out identical or similar analysis using Py
 thon programming language.\n\nParticipants are required to have their own 
 laptop to work with on the course\, with the Anaconda Python Distribution 
 (with Python version 3.7) installed: https://www.anaconda.com/distribution
 /. If you would like help installing Anaconda\, please email Bio-IT in adv
 ance of the course. To join this online course\, you will also need the Zo
 om client installed on your computer. You can get this at https://zoom.us/
 download/.\n\nKeyword:\nPython\n\nTools:\nPython
SUMMARY:Introduction to Python Programming 2020
URL;VALUE=URI:https://www.denbi.de/training/848-introduction-to-python-prog
 ramming
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