NumPy is the key scientific Python computing package. This makes things simpler to display large numbers of data in advanced maths and other operating types. These operations are typically extra efficient and less code-based than that of the built-in sequences in Python are possible, and the further discussion can be defined as follows:
- It offers a multidimensional array object, as do variations such as masks and matrixes that can be used for different mathematical activities.
- It is an external library of basic levels in Python used for complex mathematical procedures.
- It has integrated functions that <em><u>convert various algorithms into arrays</u></em>.
So, the answer is "NumPy".
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Answer:
5.23 LAB: Adjust values in a list by normalizing When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This can be done by normalizing to values between 0 and 1, or throwing away outliers.
Explanation:
The answer to this question is protocol
You must place a child in a federally approved child restraint device if the child is three years and under.
Answer:
--- True
--- False
--- True
Explanation:
Required
Determine if the statements are true or not.

To do this, we convert DE from base 16 to base 10 using product rule.
So, we have:

In hexadecimal.

So, we have:


Hence:
(a) is true

First, convert D7 to base 10 using product rule


So, we have:


Next convert 215 to base 2, using division rule








Write the remainders from bottom to top.

<em>Hence (b) is false</em>

Convert 13 to base 10 using product rule


Hence; (c) is true