2.2 KiB
2.2 KiB
layout | title | date | categories |
---|---|---|---|
post | day 10 | 2018-01-11 | programming |
100 Days of Code
Day 10:
Made fibonacci programs from tutorials I found on youtube. One that introduces the concept of memoization or storing results of recent function calls to improve the speed of the recursive function. Also a basic bubblesort program in python that I found from another tutorial. This is very basic stuff but I want to make sure I know as much foundational knowledge as I can. Socrataca on youtube is a great channel with lots of math and science themed videos. That is where I found these tutorials. Here is a link to the python video on the fibonacci sequence.
No Cache
#!/usr/bin/env python3
# this shows the fibonacci sequence with basic recursion.
# note that it gets very slow at the end due to the recursion
def fibonacci(n):
if n == 1:
return 1
elif n == 2:
return 1
elif n > 2:
return fibonacci(n-1) + fibonacci(n-2)
for n in range(1, 101):
print(n, ":", fibonacci(n))
Cache
#!/usr/bin/env python3
# this introduces recursive fibonacci with a cache of recent function calls
# this is introducing memoization: caching recent function call results
fibonacci_cache = {}
def fibonacci(n):
# If we have cached the value, then return it
if n in fibonacci_cache:
return fibonacci_cache[n]
# compute nth term
if n == 1:
value = 1
elif n == 2:
value = 1
elif n > 2:
value = fibonacci(n-1) + fibonacci(n-2)
fibonacci_cache[n] = value
return value
for n in range(1, 101):
print(n, ":", fibonacci(n))
Cache using functools lru_cache
#!/usr/bin/env python3
from functools import lru_cache
@lru_cache(maxsize = 1000)
def fibonacci(n):
# check if type is positive int
if type(n) != int:
raise TypeError("n must be a positive int")
if n < 1:
raise ValueError("n must be a positive int")
if n == 1:
return 1
elif n == 2:
return 1
elif n > 2:
return fibonacci(n-1) + fibonacci(n-2)
for n in range(1, 501):
print(n, ":", fibonacci(n))