Reviewer 2 just asked for three additional specifications. You spent the weekend re-clicking SPSS. Let me ask you something before we write a single line of code: what would it mean if that rerun took thirty seconds instead of three days?
Honestly, it would mean I stop dreading revision rounds. Right now every "minor" request is a weekend gone.
That's exactly the gap Python closes. Before we go further, rate yourself on six skills — not where you wish you were, but where you actually are today. A 1 on everything is a perfectly honest answer if you've never opened a Python file.
I use R for stats. Why do I need Python at all?
For everything R doesn't handle well: web scraping, text processing, AI, automation, and cross-tool pipelines. Rate honestly. Day 30 answers show you the delta — and the delta is the argument for the next grant proposal.
Thirty days. One real project: a reproducible analysis pipeline. By Day 28 you'll have working Python that takes a list of respondent dicts, filters to a pre-registered subset, computes descriptive stats per treatment group, and returns a dict shaped like a journal-ready summary table.
| Week | Focus | Research framing |
|---|---|---|
| 1 | Variables, strings, f-strings, booleans, if/elif | "Reviewer wants mean age by treatment group. Compute and print it." |
| 2 | Lists, loops, dicts, nested structures | "300 respondents across 5 waves. Loop, filter, count — don't click." |
| 3 | Functions, defaults, CSV, JSON | "Turn your specification into a function your co-author can rerun." |
| 4 | Comprehensions, sorting, error handling, capstone | "Ship the pipeline that regenerates every table in your paper." |
Every lesson is a short Socratic conversation plus one small coding challenge. Tests tell you immediately what went wrong.
Reviewer 2 just asked for three additional specifications. You spent the weekend re-clicking SPSS. Let me ask you something before we write a single line of code: what would it mean if that rerun took thirty seconds instead of three days?
Honestly, it would mean I stop dreading revision rounds. Right now every "minor" request is a weekend gone.
That's exactly the gap Python closes. Before we go further, rate yourself on six skills — not where you wish you were, but where you actually are today. A 1 on everything is a perfectly honest answer if you've never opened a Python file.
I use R for stats. Why do I need Python at all?
For everything R doesn't handle well: web scraping, text processing, AI, automation, and cross-tool pipelines. Rate honestly. Day 30 answers show you the delta — and the delta is the argument for the next grant proposal.
Thirty days. One real project: a reproducible analysis pipeline. By Day 28 you'll have working Python that takes a list of respondent dicts, filters to a pre-registered subset, computes descriptive stats per treatment group, and returns a dict shaped like a journal-ready summary table.
| Week | Focus | Research framing |
|---|---|---|
| 1 | Variables, strings, f-strings, booleans, if/elif | "Reviewer wants mean age by treatment group. Compute and print it." |
| 2 | Lists, loops, dicts, nested structures | "300 respondents across 5 waves. Loop, filter, count — don't click." |
| 3 | Functions, defaults, CSV, JSON | "Turn your specification into a function your co-author can rerun." |
| 4 | Comprehensions, sorting, error handling, capstone | "Ship the pipeline that regenerates every table in your paper." |
Every lesson is a short Socratic conversation plus one small coding challenge. Tests tell you immediately what went wrong.
