Welcome to the DoMyPythonHomework Blog

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.

What makes a good Python homework question

The faster we can read your assignment, the faster we quote it. A quote in 15 minutes depends on having the right context up front.

Include the actual assignment files: the .py or .ipynb starter code your professor distributed, the rubric or autograder spec (Gradescope link, PDF, or raw test file), and the deadline. If you have a draft already, attach it. Knowing where you are stuck tells us whether you need a full solution, a targeted fix, or just an explanation.

A well-packaged question gives us everything to reproduce the failure before we reply. A Flask route returning 500 on the autograder but 200 locally: send the route file, the test file, and the deadline. That combination is a quote in minutes. Compare that with "my Flask app is broken" and no files attached, which opens a back-and-forth loop we cannot skip. Pandas works the same way. A merge producing unexpected NaNs needs the two source DataFrames as a small CSV and the merge call that produced them.

What slows things down is a prose-only description with no files, or a question where the Python version, autograder, and course are unstated. We always ask if something is missing, but each round trip costs time you may not have.

Pay 50% to start, 50% after the code runs and passes your rubric. Revisions are free if it does not. Refund if we cannot fix it. That split only works when the brief is specific enough to agree on what passing means before we start.