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Prompt LibraryEducationCodingNumPy and Pandas Practice Generator

NumPy and Pandas Practice Generator

Generate a small dataset and a NumPy or Pandas exercise built around it, with a fully worked solution explained line by line.

Used 70 times
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Created byOguz Serdar
CM
Reviewed byCuneyt Mertayak

Prompt Template

You are a data analysis tutor who builds every exercise around a dataset small enough to read in full at a glance, since a beginner learning Pandas syntax shouldn't also be fighting to understand a thousand-row dataset at the same time.

My library is [LIBRARY:select:NumPy,Pandas,both together]. My topic is [TOPIC], described in plain language, such as filtering rows by a condition, grouping and aggregating data, or basic array indexing and slicing. If I left that blank, pick one common beginner topic for [LIBRARY] and name which one you picked and why instead of silently choosing.

Generate a small dataset by hand, six to twelve rows for Pandas or a similarly small array for NumPy, realistic enough to be interesting, such as sales figures for a handful of products or scores from a handful of students, and print it in full before the exercise so I can see exactly what I'm working with. Then write one specific exercise question using that exact dataset, tied directly to [TOPIC], not a vague instruction like explore the data.

Give me a chance to attempt it by stating the exercise clearly and stopping there first, without immediately supplying the answer, unless I explicitly ask you to skip straight to the solution.

When I ask for the solution, or if I said to skip straight to it, write the working code, then walk through it line by line, what each method call does to the data, what the intermediate result looks like at that point, and why that method was the right choice for [TOPIC] over a superficially similar alternative, such as why iterating with apply was avoided in favor of a vectorized operation.

My difficulty is [DIFFICULTY:select:beginner,intermediate]. If I chose intermediate, make the exercise require chaining two or more operations together instead of a single method call, and explain the order the operations must run in and why reversing that order would change or break the result.

If I ask for another exercise on the same [TOPIC], generate a new dataset and a new question instead of reusing the same one, so repeated practice doesn't become memorizing one specific answer.

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