Answer:
b. instantiated.
Explanation:
In computer programming, to be instatiated or when variables are instatiated; this simply refers to the acts of making example out of a group variables or a form of template. For example in a situation of class of objects.
Hence, in this case, the correct answer to the question above is the option B, in which Variables set equal to patterns are said to be INSTATIATED
I'll say something is wrong with the ink or the papers jammed
In this exercise we have to use the knowledge in computational language in python to write a code with circles and squares.
<h3>how to draw geometric figures in python?</h3>
<em>inputs = 100</em>
<em>radius</em>
<em> draw_circle(radius);</em>
<em> pendown()</em>
<em> begin_fill()</em>
<em> circle(radius)</em>
<em> end_fill()</em>
<em> penup()</em>
<em>left(90)</em>
<em>forward(radius*2)</em>
<em>right(90) </em>
<em>penup()</em>
<em>setposition(0,-200)</em>
<em>color("gray")</em>
<em>bottom_radius = int(input("What should the radius of the bottom circle be?: "))</em>
<em>draw_circle(bottom_radius)</em>
<em>draw_circle(bottom_radius)</em>
See more about python at brainly.com/question/18502436
In the NumPy function, the data preparation technique that is used to help machine learning algorithms is called the reshape technique or function
For better understanding, let us explain what the reshape function means
- The numpy package helps to give the right tools for scientific and mathematical computations in python
. it includes functions that cam be used to perform common linear algebra operations, fast Fourier transforms, and statistics
The reshape function simply alter or change the row and column arrangement of data in numpy function and it is said to just give new shape to an array without the altering of its data.
from the above, we can therefore say that the answer In the NumPy function, the data preparation technique that is used to help machine learning algorithms is called the reshape technique or function is correct
learn more about reshape function from:
brainly.com/question/24728884