MIT 6.1010: Fundamentals of Programming
6.1010 — formerly 6.009, the number much of the internet still uses — is MIT's second programming course, where Python fluency from 6.100A gets turned into real software through substantial weekly labs: audio processing, image filters, graph search, interpreters. It's the bridge between knowing Python and engineering with it.
Fennie is independent and not affiliated with MIT. This is an unofficial study guide.
Build my 6.1010 study planWhat makes it hard
Each lab is a working program of real size, graded by test cases that probe edge cases mercilessly. Recursion and graph search are the conceptual peaks, and the course's refusal to hand you scaffolding — you design the structure — is exactly the adjustment students coming from fill-in-the-blank intro courses struggle with.
What you'll cover
- • Program design and decomposition
- • Recursion and recursive structures
- • Graph search algorithms
- • Higher-order functions and closures
- • Object-oriented design
- • Interpreters and environments
The 6.1010 study guide
How to study for MIT 6.1010, step by step.
- 1
Design on paper before typing
6.1010 labs reward structure: sketch the data representation and function decomposition before writing code. Students who start typing immediately spend the saved minutes many times over in restructuring.
- 2
Write your own test cases first
The graders probe edge cases, so beat them to it — empty inputs, single elements, cycles in graphs. Testing your understanding of the spec is half of each lab.
- 3
Make recursion reps a weekly habit
Recursive thinking carries the hardest labs, including the interpreter. Beyond the lab itself, write small recursive functions weekly until call trees feel as natural as loops.
- 4
Debug with hypotheses, not print storms
State what you believe, find the smallest input that breaks the belief, and fix the model. The discipline matters more here than in any intro course because the programs are finally big enough to hide bugs.
- 5
Space the labs with Fennie
Upload the 6.1010 calendar — or your self-study plan around the public materials — and Fennie's Daily Plan splits each lab into design, build, and test days, with recursion and graph-search quizzes generated from the actual course content. Free to start.
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How Fennie helps with 6.1010
Fennie's Daily Plans split each 6.1010 lab into design, build, and test days so the structure gets thought through before the typing starts. Chat through a recursive decomposition or a graph-search invariant when a lab fights back, and quiz yourself on the patterns the next lab will assume.
FAQ
Is 6.1010 the same as 6.009?
Yes — 6.009 became 6.1010 in MIT's 2022 EECS renumbering. Online discussion and older materials mostly use 6.009; the course lineage is the same.
Is 6.1010 hard?
The labs are substantially bigger than intro-course psets and the test cases are unforgiving. Students who design before coding and write their own tests find the workload steady rather than spiky.
What should I take before 6.1010?
Python fluency at the 6.100A level — comfortable with functions, lists, dictionaries, and basic OOP. It pairs with or precedes 6.1200, and leads into 6.1020 and 6.006.
Pass 6.1010 with a plan, not a cram
Upload your 6.1010 materials and Fennie generates a Daily Plan paced to your deadline — plus chat, flashcards, and quizzes built from the actual course content.
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6.100A — Introduction to Computer Science Programming in Python
6.100A — formerly 6.0001, the number most search results still use — is MIT's half-semester introduction to programming in Python for students with little or no experience. The 6.0001 lectures on OpenCourseWare are among the most popular free programming courses anywhere.
6.006 — Introduction to Algorithms
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6.042J — Mathematics for Computer Science
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