Welcome to the DMPH Blog: Python Homework Help, Made Public

We have been answering Python homework questions privately for years. Starting today, the explanations live here too. The goal is simple: the answer to a tricky recursion-limit-exceeded or a confusing pandas.groupby should not be a paywall away.

What you will find here

Three kinds of posts:

• Walkthroughs of coursework that trips students up. The recursive Fibonacci that crashes for n > 35. The lambda that captures the loop variable. The race-conditions in async/await that pass tests locally but fail under load.
• Debugging patterns from real tutoring sessions. Step-by-step traces of how an experienced developer reads a stack trace and forms a hypothesis.
• Study strategies that hold up under exam pressure. How to read an assignment rubric. What to write down before you touch a keyboard. When to step away.

How to use this archive

If you are searching for a fix, use the search bar at the top. Pagefind indexes every post body, not just titles. Filter the index by topic tag (Algorithms, Pandas, Async, Recursion, Tooling) to narrow.

If you are studying, read the recent posts in order. They build a mental model of how working Python developers actually approach unfamiliar code.

If you are stuck on something that is not covered here, submit your assignment and we will write up the answer for the archive too.

A note on academic integrity

Everything published here is pedagogical, not prescriptive. Each post explains the reasoning, the alternatives, and the Big-O / memory tradeoffs. The goal is for you to ship homework you understand — not homework you copied.

If your course honor code forbids any external help, this archive is not for you, and that is okay.