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
Yes insurance can help you
Answer:
C. Bidirectional
Explanation:
If we want to access elements at an any random offset position then we can use random access iterators.They use the functionality 'as relative to the element they point to' like pointers.Random access iterators are Bidirectional iterators that can randomly process elements,pointer types are also random-access iterators.
