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.
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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 36 seats available.
bder@kb.dk
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