This course is part of our Python Summer School. We will offer courses throughout the week from August 10–14. You can sign up for one course or as many as you like.
Python 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.
You can find all of our course materials here: https://kubdatalab.github.io/python
And sign up for more courses here: https://kubkalender.kb.dk/calendar/datalab
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In 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.
In this part, you will learn how to use list comprehensions to write cleaner and more efficient code, read from and write to files to store and retrieve data, and handle errors to make your programs more robust and reliable.
Practical 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: https://kubdatalab.github.io/python/docs/howto/setup.html
Related LibGuide: Datalab by Christian Knudsen
Please note this is an online event. The online event URL will be sent to you in an email confirming your registration.
* Required Field
Registration only possible for emails from these domains - ku.dk, @kb.dk, @itu.dk, au.dk, aau.dk, sdu.dk, @ruc.dk, e.g. xyz123@alumni.ku.dk
We will send confirmation of registration in your email. If you do not receive an e-mail, please contact the course organiser.
Registration is required. There are 12 seats available.
bder@kb.dk
pryn@kb.dk
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