Answer:
import numpy as np
def genRandomVect():
arr = np.random.choice(range(100),size=(50,),replace=False)
return arr
print("Random 1D numpy array where each element is an integer sampled from: [0, 100) ")
print( genRandomVect() )
Explanation:
- Create a function to create a numpy array with random integers in range[0,100) with no duplicates
- Use the random.choice to select random values from range[0,100) and size attribute to take the size of the required array
.
- Finally return the numpy array.
Answer:
In computer science, scalability is the ability of an application or product that could be software or software to continue responding well when its context is increased in volume or size to meet the user demand. Typically, when a product becomes aging or the context demands a rescaling to a larger size or volume, if the product is prepared to respond to this demand, then it's called a scalable product.
Both technicians A and B
When the engine is shut off and the pump stops running, by default, the system should hold the residual for a few minutes. If the pressure starts dropping immediately, the vehicle may have a leaking injector, a leaky fuel pump check value, problems with the FPR itself, or a leaky fuel pressure regulator.
Answer:
A.) A collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools.
Explanation:
Big data is a collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools.
