Main points are key ideas that support a thesis and helps an audience understand and remember what is most important about a speaker's topic, while sub points are supporting points like <span><span>examples, definitions, testimony, and statistics that support or illustrate a speaker's main points.
</span>A preview is a list of main points and sub-points of a topic to include in a presentation</span>
Answer:
FALSE.
Explanation:
Susan remains in control of the corporation's stock statements. this would have to identify different product products and raise production costs for the plant. to keep comfortable, build a spreadsheet then select the Research Software of the following application.
She has to use that search feature to locate the identical similarity to such the product object, such that the range lookup value is set to FALSE.
Answer:
in general terms a sample resume would have less on it with more of a general overview,while a full resume has the whole 9 yards
Answer:
Encryption used on hard drives
Explanation:
TPM is a hardware chip. It is a type of module that is used to authenticate the hardware devices with the help of encryption keys (passwords). It is the short form of Trusted Platform module. The hardware devices that be authenticated through this module may include personnel computer or laptops. There are different keys, password and security codes.
So, the best sentence that describes, TPM is Encryption built into hardware
.
Answer:
The correct option is np.array
Explanation:
Numpy is a library to perform numerical calculation in python. It allows us to create and modify vectors, and make operations on them easily. Numpy arrays are an excellent alternative to python lists. Some of the key advantages of numpy arrays are that they are fast, easy to work with, and offer users the opportunity to perform calculations through full arrays.
To start using numpy, the library must be imported:
import numpy as np
The most common way to create a vector or matrix already initialized is with the np.array function, which takes a list (or list of lists) as a parameter and returns a numpy matrix. The numpy arrays are static and homogeneous typing. They are more efficient in the use of memory.
Example:
list = [25,12,15,66,12.5]
v = np.array (list)
print (v)
