ChatGPT Prompt for Learning Python: 12 Practice Plans

A ChatGPT prompt for learning Python works when it turns your goal, weekly hours, and weak spots into drills you can finish this month. Use these prompts to build a 4-week sprint, path and CSV practice, a small CLI, and a mistake log without inventing course brands or certificates. Paste only skills you have and hours you can protect, then run the drills on your machine. Below are 12 copy-paste prompts plus a flagship sprint builder.

Prompts for planning your sprint

1. Goal to four-week outline

I want to [goal]. I know [skills]. I have [N] hours per week. Weak spots: [list]. Draft a 4-week Python practice outline sized to those hours. Do not invent courses I did not name.

2. Weekly hour budget split

Split [N] weekly hours into drill time, project time, and review. Goal: [goal]. Prefer scripts over notebooks. Return a simple Tue/Thu/Sat schedule.

3. Weak-spot triage

From these errors and blockers, [paste], rank the top 5 Python topics to practice first for goal [goal]. Explain each in one sentence.

Prompts for drills and projects

4. pathlib space-in-path lab

Write 5 pathlib drills that safely open folders whose names contain spaces. Include success checks. Assume Python [version] and OS [os].

5. CSV cleanup mini project

Spec a mini project that cleans [columns] in a CSV using the csv module only. List file names, inputs, outputs, and edge cases. No pandas unless I say I have it.

6. argparse CLI skeleton

Design a small CLI for [task] with --dry-run and --path. List arguments, help text, and three manual test commands. Use only libraries in [tools].

7. pytest smoke list

For script [name], propose 5 pytest cases I can write this week. Each case needs arrange/act/assert in one line. Do not invent fixtures I did not describe.

Prompts for feedback loops

8. Mistake log from a traceback

Here is a traceback: [paste]. Fill a mistake-log row: cause guess, fix to try, retest plan. Do not invent library versions I did not give.

9. Code review of my drill

Review this practice code: [paste]. List 5 improvements for readability and path safety. Do not rewrite the whole file unless I ask.

10. Self-check quiz

Make an 8-question quiz on [topics] from my week. Short answers only. Mark which questions need me to run code locally.

11. Portfolio README outline

Outline a README for project [name] covering setup, usage, and limits. Use only features I built: [list]. No fake stars or download counts.

12. Next-sprint bridge

I finished [summary]. Remaining weak spots: [list]. Propose the next 2-week Python focus with 3 drills. Keep weekly hours at [N].

Build a full sprint with the flagship prompt

The Python Learning Sprint from Goals, Gaps, Hours returns a four-week outline, drills, mini projects, mistake log, and quiz from your inputs. Its photography-folder CLI example keeps pathlib and argparse, skips unpaid course brands, and sizes work to 5 hours per week.

Related prompts

For a general learning loop, see Learn a new topic learning sprint and Exam practice test and mistake log. For Python tooling: Cursor rules for Python and Python 3.9 to 3.13 upgrade planner.

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