In [2]:

    

import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt; plt.rcdefaults()
import matplotlib.pyplot as plt


    

In [12]:

    

'''
Goal is to get 100,000 trials, and store for each of them the time since the last CP
'''
T = 6  # seconds
h = 2  # Hz
samples = []
for n in range(100000):
    time = 0
    while time < T:
        dwell_time = np.random.exponential(1. / h)
        last_cp_time = time
        time += dwell_time
    samples += [T - last_cp_time]
plt.figure()
plt.hist(samples, bins=100, normed=True)
plt.show()


    

In [1]:

    

n = 0
while n < 10:
    n += 1
    if n % 2 == 0:
        continue
    print(n)


    

    




1
3
5
7
9

In [3]:

    

d = {'yes': 2, 'no': 33, '3': 99}
print(d[str(3)])


    

    




99