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DTSTART:20260813T110100Z
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SUMMARY:Python for not quite Absolute Beginners : text analysis with pandas\, #summer(school)
DESCRIPTION:\nThis course is part of our Python Summer School. We will 
 offer courses throughout the week from August 10–14.\nYou can sign up for 
 one course or as many as you like.\n\nPython for Absolute Beginners Part 1 
 & 2 are our core courses. After completing these (or if you already have 
 Python knowledge equivalent to the course material)\, you can join all 
 other Python courses in our Summer School.\n\nYou can find all of our 
 course materials here: https://kubdatalab.github.io/python\n\nAnd sign up 
 for more courses here: 
 https://kubkalender.kb.dk/calendar/datalab\n\n---\n\nIn the Python for not 
 quite Absolute Beginners courses\, we expand on previous learning to write 
 more structured and reliable programs. Before you attend these courses\, 
 make sure you have completed Python for Absolute Beginners Part 1 and 2 or 
 are familiar with its topics.\n\nIn this workshop\, you gain knowledge 
 about how to work with texts as data using the library pandas. We will use 
 fairy tales as our example material and combine many of them into a single 
 dataset. \n\nYou will gain knowledge about: \n\n\n	what a dataset of texts 
 is in practice\n	how a DataFrame can be built from a folder of text 
 files\n	how to combine multiple DataFrames using pd.concat\n	how to apply 
 functions to text with .apply (for example\, for text cleaning)\n	how to 
 calculate simple metrics such as word count and TTR (type-token 
 ratio)\n	how to compare authors using groupby (Split-Apply-Combine)\n	how 
 to visualise simple patterns (for example\, average word length by 
 author)\n	how to save the data for further analysis\n\n\nBy the end of the 
 workshop\, you will have a structured dataset that you can use in Workshop 
 2 and in your own projects. \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/docs/howto/setup.html\n\n
LOCATION:Library Lighthouse\, zone 1\, Library Lighthouse\, zone 2\, Nørre Campus
ORGANIZER;CN="Daniel Pryn":MAILTO:pryn@kb.dk
CATEGORIES:Analysis, English, Python, Summer School, Datalab
CONTACT;CN="Daniel Pryn":MAILTO:pryn@kb.dk
STATUS:CONFIRMED
UID:LibCal-4545164
URL:https://kubkalender.kb.dk/event/4545164
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