For new content creation, build AIO considerations into your standard workflow. Before writing, identify the key questions your content will answer and structure your outline around those questions. Plan to include specific data points and examples during research. Decide what structured elements (tables, step-by-step lists, comparisons) would enhance the content. Add these considerations to whatever content creation process you already use rather than treating AIO as a separate, optional step.
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The resulting Jupyter Notebook is…indeed thorough. That’s on me for specifying “for all columns”, although it was able to infer the need for temporal analysis (e.g. total monthly video uploads over time) despite not explicitly being mentioned in the prompt.
That’s the cornerstone of Modular Design and that’s why it was already mentioned several times in this article. It’s about “hiding in a box” how something is implemented without requiring other developers, who just use your module, to know any of the inner workings. It hides inner complexity. That implies that the public API of the module is on the higher level of abstraction (agnostic of the details). That’s desirable because it lowers the cognitive load on the users (they don’t have to be experts in whatever the module is doing as long as the public API is easy). Another benefit is that it allows you to change the implementation without breaking other modules.