Select the Python math module function that give you the Euclidean norm, square root of x*x + y*y. This is the length of the vector from the origin to point (x, y).
| sin |
| hypot |
| cos |
| sqrt |
| radians |
What would be the value printed from the code below?
import math print(math.ceil(math.e))
| 7 |
| 2.718281 |
| 3.141592 |
| 2 |
| 3 |
What would be the value printed from the code below?
import math print(math.floor(math.pi))
| 2.718281 |
| 3.141592 |
| 2 |
| 3 |
|
6 |
ex is e raised to the power x, where e = 2.718281… is the base of natural logarithms. What is the most accurate way to calculate ex value? use:
| math.exp(x) |
| math.e ** x |
| pow(math.e, x) |
| pow(2.718281, x) |
| 2.718281**x |
The correct code to generate a random number between 1 and 1000( both inclusive) is:
| prob = random.randrange(1, 1001) |
| prob = random.randrange(0, 1001) |
| prob = random.randrange(1, 1000) |
| prob = random.randrange(1, 999) |
| prob = random.randrange(0, 999) |
Question)
Select the Python math module function that give you the Euclidean norm, square root of x*x + y*y. This is the length of the vector from the origin to point (x, y).
Ans) hypot
____________________
Question)
What would be the value printed from the code below?
import math print(math.ceil(math.e))
Ans) 3
_____________________
Question)
What would be the value printed from the code below?
import math print(math.floor(math.pi))
Ans) 3
_____________________
Question)
ex is e raised to the power x, where e = 2.718281… is the base of natural logarithms. What is the most accurate way to calculate ex value? use:
Ans) math.exp(x)
_____________________
Question)
The correct code to generate a random number between 1 and 1000( both inclusive) is:
Ans) prob = random.randrange(1, 1001)
____________________Thank You
Select the Python math module function that give you the Euclidean norm, square root of x*x...
You may import the following library functions in your module: from fractions import gcd from math import floor from random import randint You may also use: • the built-in pow() function to compute modular exponents efficiently (i.e., ak mod n can be written in Python as pow(a,k,n)), • the sum() function returns the sum of a list of integers (sum(1,2,3,4) returns 10). problem 1 a. Implement a function invPrime(a, p) that takes two integers a and p > 1 where...