Read Programming, Data Structures and Algorithms using Python previous-year questions and available published explanations, or launch a practice test.
Use the questions to identify topics you need to revise. Try solving each question before reading its explanation, then use Practice Mode for answer feedback or Exam Mode for a timed attempt.
How to revise Programming, Data Structures and Algorithms using Python
Programming, Data Structures and Algorithms using Python questions reward clear reasoning as well as a final answer. This revision guide is a starting point for using the available papers; it is not the official syllabus or a promise about future exams.
Revision focus
Complexity; recursion; searching; sorting; graphs; data structures
Useful prior knowledge
Python functions, loops and containers
Common mistakes
Ignoring a worst-case input or changing a list while reasoning about its original indices
Use these papers effectively
Trace the algorithm on a tiny example, then state the invariant and complexity. Include an empty or boundary input in your reasoning. After checking a solution, solve the question again without looking and record the specific step you missed.
Revision guidance only. Check your current official course materials for the assessed syllabus.