Join the “Zero to Data Analyst” Bootcamp. Limited seats.
A 20-week program covering 7 courses, 12 assignments, 4 real-world projects, and 12 months of career support.
Write a function to compute 5/0 and use try/except to catch the exceptions.
In [3]:
def compute():
a = 5/0
try:
print(compute())
except ZeroDivisionError as ze:
print('Error: while dividing with zero it should through error') Error: while dividing with zero it should through error
Implement a Python program to generate all sentences where subject is in ["Americans",
"Indians"] and verb is in ["Play", "watch"] and the object is in ["Baseball","cricket"].
Hint: Subject,Verb and Object should be declared in the program as shown below.
subjects=["Americans ","Indians"]
verbs=["play","watch"]
objects=["Baseball","Cricket"]
In [4]:
subjects=["Americans ","Indians "]
verbs=["play ","watch "]
objects=["Baseball","Cricket"]
for s in subjects:
for v in verbs:
for o in objects:
sentence = s+v+o
print(sentence)
Americans play Baseball
Americans play Cricket
Americans watch Baseball
Americans watch Cricket
Indians play Baseball
Indians play Cricket
Indians watch Baseball
Indians watch Cricket
Write a function so that the columns of the output matrix are powers of the input vector.
The order of the powers is determined by the increasing boolean argument. Specifically, when
increasing is False, the i-th output column is the input vector raised element-wise to the power
of N - i - 1.
In [5]:
import numpy as np
x = np.array([1, 2, 3, 4, 5, 6])
N = 3
np.vander(x, N)
np.column_stack([x**(N-1-i) for i in range(N)])
np.vander(x)
np.vander(x, increasing=True)Out[5]:
array([[ 1, 1, 1, 1, 1, 1],
[ 1, 2, 4, 8, 16, 32],
[ 1, 3, 9, 27, 81, 243],
[ 1, 4, 16, 64, 256, 1024],
[ 1, 5, 25, 125, 625, 3125],
[ 1, 6, 36, 216, 1296, 7776]])In [6]:
import jovian
In [ ]:
jovian.commit()[jovian] Saving notebook..
In [ ]: