marcmuon

def derivative(f, x):
    h = 0.00000001 
    return (f(x+h) - f(x)) / h

x=10
approx_derivative = derivative(lambda x: 1/x, x)
actual = -1/(x*x)

print('approx:', approx_derivative,', actual:', actual)

marcmuon

import numpy as np

def ecdf(sample):
    n = len(sample)
    x = np.sort(sample)
    y = np.arange(1, len(x)+1) / n
    return x, y

marcmuon

def fib_to(n):
	fibs = [0, 1]
	for i in range(2, n+1):
		fibs.append(fibs[-1] + fibs[-2])
	return fibs

print(fib_to(40000)[33399])

marcmuon

select GETDATE() --2021-09-01 19:35:22
select time_slice(getdate()::timestamp_ntz, 1, 'HOUR') --2021-09-01 19:00:00