Bellman–Ford, explained clearly.
A practical guide to shortest paths, negative edges, negative cycles, and a Python implementation.
Erkan Malcok
Writing, teaching, and thinking about computing and education.
For teachers, learners, and colleagues who need clear thinking about computing.
Browse articlesWhy I write
From data science to teaching.
My background is in data science and computational maths — commercial analytics, then UK education data — and I am training to teach computer science.
I write to measure what matters, remove work that adds no value, and improve what remains. Models, metrics and AI can support your thinking, but none can replace your judgement or understanding.
Articles and study
Personal site writingShort articles on computing, education, and evidence — for people who teach, learn, and decide.
This is not a publication record or portfolio of formal work.
LLM fluency is not reasoning.
What large language models are good at, where fluent answers mislead us, and how to evaluate claims about intelligence and understanding.
Computer science has two parents.
Mathematics explains the structure and limits of computation. Engineering makes those ideas work in imperfect, physical systems. Students need both.
Teaching computing beyond syntax.
What pupils need besides working code: structure, explanation, debugging habits, and the confidence to reason about programs.
Current study
PGCE Secondary Computer Science with ICT.
Course detailsDegree
BSc (Hons) Data Science.
Course detailsStart a conversation
Get in touch.
People do not ask when they feel uncomfortable. When they are comfortable, they share — begin there.