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The Python Intro for Libraries lesson currently uses a dataset of library usage data and uses Google Colab instead of JupyterLab. If you were familiar with the original version of the lesson and are planning to teach it again, please give yourself time to review the lesson for changes made to "Broadify" the content.
In future, this lesson may be adapted to use a more genomics-oriented dataset.
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This lesson is an introduction to programming in Python requiring little or no previous programming experience. It uses examples that are relevant to a range of basic data exploration use cases, and is designed as a prerequisite for other Python lessons that could be offered in the future. The lesson uses the Google Colab computing environment and Python 3.
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Learners need to understand what files and directories are and what a working directory is.
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Learners must have a Google account capable of accessing Google Colab. Learners must also download the dataset that will be used in the lesson before the workshop begins.
Please see setup instructions below for details.
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