Python Assignments

A Python assignment that runs on your machine but not the marker's is a common way to lose easy marks — usually a hardcoded path, an untracked dependency, or an edge case the brief mentions once. We build to your exact spec, run it against your own test cases before it comes back to you, and hand over a repo that runs clean the first time someone else opens it.

What you get

• Code written to your exact assignment spec, not a generic template
• PEP 8-clean, commented where the logic isn't obvious
• Run against your test cases before delivery, not after
• A short write-up of the approach if your rubric asks for one
• One round of fixes included if a marker flags something
• Delivered as a working repo, not a single dumped file

What to send first

• The assignment PDF and the marking rubric
• Any starter code, skeleton files or header files you were given
• The exact language version and compiler or IDE your marker uses
• Sample inputs, expected outputs or the autograder's test cases

How it runs

1. 01

   Send the spec

   The brief, the rubric, any starter code and the versions your marker uses. A photo of the PDF is fine to begin with.

2. 02

   Scope and quote in writing

   We read it properly, ask what is unclear, and confirm a fixed price and delivery date. A small advance confirms the order.

3. 03

   Build against the brief

   Work is tracked task by task against the spec. Longer projects are split into milestones you can review as they land.

4. 04

   Tested handover

   A repo that installs from a README, run against your test cases, with the write-up if your rubric asks for one.

5. 05

   Fixes and walkthrough

   One round of fixes if a marker flags something, and a walkthrough of how it works so you can explain it.

Python Assignments: common questions