Lecture
Implementing Fibonacci Sequence with Recursive Function
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding ones.
It typically begins with 0 and 1, forming the sequence: 0, 1, 1, 2, 3, 5, 8, 13, 21, ...
The Fibonacci numbers can be mathematically defined as F(n) = F(n-1) + F(n-2), and can be implemented in Python as follows:
Fibonacci Sequence Implementation
def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)
Time Complexity
The recursive Fibonacci function has a time complexity of O(2^n). Since each call spawns two new calls, the number of calls grows exponentially.
Lessons in this chapter · Practical Python Algorithms
- 1. Advanced Python Algorithms
- 2. What is a Recursive Call?
- 3. Implementing Fibonacci Sequence with Recursive Function
- 4. Fill-in-the-blank quiz
- 5. Coding Quiz - Fibonacci Sequence
- 6. Dynamic Programming and Divide and Conquer
- 7. Implementing Dynamic Programming in Python
- 8. Multiple-choice quiz
- 9. Coding Quiz - Make One
- 10. What is Merge Sort?
- 11. Implementing Merge Sort
- 12. Multiple-choice quiz
- 13. Coding Quiz - Sort a List Using Merge Sort
- 14. What is Quick Sort?
- 15. Implementing Quick Sort in Python
- 16. Multiple-choice quiz
- 17. Coding Quiz - Sort a List Using Quick Sort
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