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- Understand the Concept of Literate Programming: Learners will be able to explain the principles of literate programming, including how it differs from traditional code documentation, and articulate its importance in making code more understandable for humans.
- Appreciate the Role of Notebooks in Data-Centric Workflows: Learners will be able to describe the advantages of using notebook environments like Jupyter Notebooks, Mathematica, and Apache Zeppelin for combining code with explanatory narratives in data science workflows.
- Adopt a Literate Programming Mindset: Learners will be able to integrate literate programming techniques into their coding practice, focusing on balancing natural language explanations with source code, inspired by Donald Knuth’s and other talks on the subject.