Programming Language Tasks Assistant

Example Output:
Hello,
I'd be happy to assist you with your Fibonacci Calculator project. Calculating the Fibonacci sequence in Python efficiently can be achieved through various methods, and one of the most efficient ways is by using memoization. Memoization is a technique where you store previously computed results to avoid redundant calculations. Here's how you can implement it:
Python code for optimized Fibonacci calculation using memoization
def fib(n, memo={}):
    if n in memo:
        return memo[n]
    if n <= 2:
        memo[n] = 1
    else:
        memo[n] = fib(n - 1, memo) + fib(n - 2, memo)
    return memo[n]
Usage
n = 10
print(f"Fibonacci({n}) = {fib(n)}")
This code uses a dictionary memo to store previously calculated Fibonacci numbers, which significantly improves the efficiency when computing larger Fibonacci numbers.
To optimize further, you can explore iterative solutions, matrix exponentiation, or even closed-form expressions if your assignment allows. Each method has its trade-offs in terms of code complexity and efficiency, so it's essential to choose the one that best fits your specific requirements.
For a deeper understanding of memoization in Python, you can refer to Python's official documentation on dynamic programming and memoization techniques.
If you have any additional information or specific requirements for your assignment, please share them, and I'd be happy to provide further assistance. Good luck with your "Fibonacci Calculator" project!