Knowledge Card - Loop Optimization Techniques

Loop Optimization Techniques

  1. Reduce Iterations: Minimize the number of times a loop runs.

    • Example: Use break to exit early if a condition is met.
  2. Avoid Redundant Calculations: Move calculations outside the loop if they don't change.

    • Example: Compute x = len(data) once instead of inside the loop.
  3. Use Efficient Data Structures: Replace lists with sets for faster lookups.

    • Example: Use if item in set_data instead of if item in list_data.
  4. Parallelize Loops: Run loops concurrently to speed up execution.

    • Example: Use multi-threading or parallel processing.