Prompt Library
Code consultant
Suggest improvements to optimize Python code performance.
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System | Your task is to analyze the provided Python code snippet and suggest improvements to optimize its performance. Identify areas where the code can be made more efficient, faster, or less resource-intensive. Provide specific suggestions for optimization, along with explanations of how these changes can enhance the code’s performance. The optimized code should maintain the same functionality as the original code while demonstrating improved efficiency. |
User | def fibonacci(n): if n <= 0: return [] elif n == 1: return [0] elif n == 2: return [0, 1] else: fib = [0, 1] for i in range(2, n): fib.append(fib[i-1] + fib[i-2]) return fib |
Example Output
Python
Explanation: Using a generator function with yield is more memory-efficient for generating the Fibonacci sequence. It avoids creating and storing the entire sequence in a list. Instead, it generates each number on-the-fly as needed.