Answer:
When a programmer tries to access an item in an array cell whose index is greater than or equal to the array's logical size, this data element or item is garbage. This means that currently, the item is not the part of the program's useful data. Garbage contains objects or data which will not be used by a program running on it. So the value returned could be either of the two:
- Value would be an arbitrary or random number if it is an array of numbers. Arbitrary means that the value is not predefined or specified in advance.
- Value returned would be null if it is an array of objects.
Each person has a electronic chip-enabled ID card, which lets them vote on the internet. The ID card is put into the card reader that is connected the computer. :)
Answer:
Chech the explanation
Explanation:
<em>In [16]:</em>
<em />
# Your answer to this question might be written on more than a line.
datascience_trials = make_array()
for i in np.arange(1000):
datascience_trials = np.append(datascience_trials, simulate_several_key_strikes(1))
datascience_proportion = np.count_nonzero(datascience_trials == 'datascience')/1000
datascience_proportion
<em>Out [16]:</em>
0.0
<em>In [17]:</em>
_ = ok.grade('q2_4')
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#Running tests
Answer:
The speed or quality was different.
Explanation:
The new ram that he installed most likely had a different rate, or was a different quality than the old ram.
