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DTSTART:20250410T070000Z
DTEND:20250410T103000Z
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SUMMARY:Python for Absolute Beginners pt. 2
DESCRIPTION:\nNote: This is part 2 of 2. You can find part 1 in our course 
 calendar:\nhttps://kubkalender.kb.dk/calendar/datalab\n\nThis course is 
 intended for students who have never tried programming before and want to 
 build their skills in Python from the bottom up.\n\nIntimidated by 
 mathematics\, numbers\, and obscure Python scripts? Don’t be! We will be 
 covering all the very basic concepts and building blocks in order to get 
 complete beginners\, who have no experience writing code\, working in 
 Python.\n\nThis will include explaining the concepts of variables and data 
 types\, as well generating some basic scripts to interact with these data\, 
 such as lists\, loops\, and conditionals. By the end of this course\, you 
 will have an understanding of the basic building blocks in Python. You will 
 also come away with an appreciation for how a computer program 
 “thinks”. All we require from you is a will to learn. We look forward 
 to seeing you!\n\nThe course is divided in two parts. The first covers 
 different datatypes in Python and how data is stored. In other words\, it 
 is an introduction to the building blocks of coding in Python.\n\nThe 
 second part expands on this by putting these blocks together to create 
 simple scripts. If you already have some understanding of Python\, feel 
 free to skip the first section. Otherwise\, we recommend that you start 
 with pt. 1 and then move on to pt. 2.\n\n \n\nPractical information: We 
 will be working in Jupyter Lab / Jupyter Notebook\, which requires some 
 installation\, but you can also work in either Google Colabs or ERDA which 
 require only a Google or KU account\, respectively. For more information 
 and help\, consult "Install & Run Python" on the course 
 page:\nhttps://kubdatalab.github.io/python\n\n \n\nAs written\, this course 
 is an introduction to the basics of Python. If you have never programmed 
 before\, this is a good place to start before you move on to some of our 
 more advanced courses:\nhttps://kubkalender.kb.dk/calendar/datalab\n\n
LOCATION:KUB Datalab: City Campus Library\, KUB City Campus\, Gothersgade 140\, 1123 København K
ORGANIZER;CN="Daniel Pryn":MAILTO:pryn@kb.dk
CATEGORIES:Analysis, English, Python, Datalab
CONTACT;CN="Daniel Pryn":MAILTO:pryn@kb.dk
STATUS:CONFIRMED
UID:LibCal-4330876
URL:https://kubkalender.kb.dk/event/4330876
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