In Python programming exams, follow these structured steps to solve problems methodically, staying focused and avoiding panic: Start by reading the problem twice to clarify inputs, outputs, and constraints—write them down simply. Break it into small sub-problems (e.g., "handle edge cases first"), plan pseudocode or a flowchart on paper, then implement step-by-step with test cases for each part, debugging one issue at a time while taking deep breaths to reset if stuck.

# Example: Solve "Find max in list" problem step-by-step
# Step 1: Understand - Input: list of nums; Output: max value; Constraints: empty list?

def find_max(numbers):
    if not numbers:  # Step 2: Handle edge case (empty list)
        return None  # Or raise ValueError

    max_val = numbers  # Step 3: Initialize with first element
    for num in numbers[1:]:  # Step 4: Loop through rest (sub-problem: compare)
        if num > max_val:
            max_val = num
    return max_val  # Step 5: Return result

# Step 6: Test cases
print(find_max([3, 1, 4, 1, 5]))  # Output: 5
print(find_max([]))  # Output: None
print(find_max())  # Output: 10

# If stuck: Comment code to trace, or simplify (e.g., use max() built-in first to verify)

This approach builds confidence—practice on platforms like LeetCode to make it habit! #python #problemsolving #codingexams #debugging #interviewtips

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