profiling-cProfile-run.py

import cProfile

...
def fib(n):
    return n if n < 2 else fib(n - 1) + fib(n - 2)

cProfile.run("fib(20)")

profiling-cProfile.py

import cProfile

...
with cProfile.Profile() as pr:
    # Your normal script
    print(fib(20))
    print(fib(25))
    print(fib(30))

pr.print_stats()

profiling-deco-caveat.py

@taimr
def fib(n):
    if n < 2:
        return n
    return fib(n - 1) + fib(n - 2)


print(fib(10))

profiling-deco.py

from time import time

def taimr(func):
    def inner(*args, **kwargs):
        t1 = time()
        res = func(*args, **kwargs)
        t2 = time()

        print(f"Your function executino took {t2-t1} seconds")
        return res

    return inner


@taimr
def count_primes(max_num):
    count = 0
    for num in range(max_num * 1000 + 1):
        if num > 1:
            for i in range(2, num):
                if num % i == 0:
                    break
                else:
                    count += 1
    return count


@taimr
def skwer(n):
    return n ** 2


print(count_primes(20))
print(skwer(20))

profiling-timeit-caveat.py

import timeit
from functools import partial

f = partial(fib, 25)

print(timeit.timeit(f, number=10))

profiling-timeit.py

import timeit

def fib(n=20):
    return n if n < 2 else fib(n - 1) + fib(n - 2)


print(timeit.timeit(fib, number=10))

profiling-timer-recursive.py

@taimr
def fib(n):
    if n < 2:
        return n
    return fib(n - 1) + fib(n - 2)


print(fib(10))

profiling-tracemalloc-compare.py

tracemalloc.start()

snap1 = tracemalloc.take_snapshot()
fib(40)
snap2 = tracemalloc.take_snapshot()

top_stats = snap2.compare_to(snap1, "lineno")

for stat in top_stats:
    print(stat)

profiling-tracemalloc.py

import tracemalloc

def fib(n):
    return n if n < 2 else fib(n - 1) + fib(n - 2)

tracemalloc.start()
for i in range(25, 35):
    print(f"{i}th fibonacci number is, {fib(i)}")

snapshot = tracemalloc.take_snapshot()
top_stats = snapshot.statistics("lineno")

print("---------------------------------------------------------")
[print(stat) for stat in top_stats]

profiling_time.py

from time import time

def count_primes(max_num):
    """This function counts of prime numbers below the input value.
    Input values are in thousands, ie. 40, is 40,000.
    """
    t1 = time()
    count = 0
    for num in range(max_num * 1000 + 1):
        if num > 1:
            for i in range(2, num):
                if num % i == 0:
                    break
                else:
                    count += 1
    t2 = time()
    print(f"Counting prime numbers took {t2-t1} seconds")
    return count


print(count_primes(20))