Projects / Intermediate
What you end up with
A procedure that, faced with a full disk, lets you state in order where it's full, what it's full of, and why deleting doesn't bring it down. And the disk you practiced on can be thrown away without a trace.
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Starting from a single orders CSV, you narrow down where sales are falling, working from the whole to the breakdown to one candidate. Using nothing but pandas aggregation, you finish with a one-page report holding a conclusion, its evidence, what the data cannot tell you, and one next step.
You build a pricing table of three plans that holds its shape from a 360px phone up to a wide screen. The aim is to let it wrap because the content is cramped, without writing a single @media rule.
You take a function that does not match its spec and fix it by writing a failing test first rather than diving in. You learn how to pick the boundaries, and what to leave behind once it is fixed.