Computer Science for All (Python) MPSI (Engineering Prep) Revision Sheets
Computer Science for All (IPT) is now a mandatory subject in scientific CPGE. In MPSI, it introduces Python and fundamental algorithms. The curriculum is identical across all scientific tracks in first year.
Computer Science for All (Python) curriculum in MPSI (Engineering Prep)
The curriculum covers Python basics (variables, types, instructions, functions), data structures (lists, dictionaries, tuples, sets), fundamental algorithms (sorting, searching, recursion, complexity), relational databases (SQL), numerical computing (equation solving, numerical integration, matrix calculus with NumPy) and an intro to numerical probability.
How to study computer science for all (python) in MPSI (Engineering Prep)?
3 simple steps for effective computer science for all (python) revision.
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Tips to succeed in computer science for all (python) MPSI (Engineering Prep)
Code every algorithm in the curriculum yourself at least once: reading isn't enough, practice is essential
Master usual complexities (O(n), O(n log n), O(n²)) and learn to prove them rigorously
Use TIPE annals and end-of-chapter exercises from the official curriculum: calibrated for concours expectations
Work with Jupyter Notebook or Spyder for execution and debugging: the expected environment at concours
FAQ — Computer Science for All (Python) MPSI (Engineering Prep)
What Python level should I expect in MPSI?
The curriculum assumes no programming prerequisite. It starts with Python syntax (variables, loops, functions) and progresses to data structures and algorithms. By the end of MPSI, you should master: procedural programming, lists/dictionaries, recursion, insertion/merge/quick sort, tree traversal, numerical computing with NumPy. No OOP or frameworks needed.
How many Python hours per week in MPSI?
Computer Science for All takes 2 hours weekly in MPSI (1h lecture + 1h lab). That's little but plenty if you code regularly at home (1-2 extra hours). Many students neglect IPT and lose 3-4 concours points despite a short, accessible curriculum. It's a high-yield subject in time-investment terms.
Should I know Python before entering MPSI?
No, the curriculum starts from scratch. But basic algorithmic knowledge (conditional logic, loops, functions) makes the first weeks much easier. To get ahead, do Python tutorials from python.org or OpenClassrooms, and code 20-30 progressively difficult exercises before the start. You'll gain 2-3 months on your peers.
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