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 answer to this question is given below in the explanation section.
Explanation:
This question is about desinging a game that is played with two dice and gets or shows their value to the player.
The dice value is random, and it can be between one and six. So, you need to generate two numbers between 1 and 6. You may also need to display the numbers
The main part of this program is that you need to know the numbers to limit or restrict what the user may do next while playing.
That's most of the first level of decomposition for solving a problem. In decomposition, you need to keep decomposing (breaking) the problem into smaller pieces, thinking outline of the program and deciding what objects, functions, variables, and logic you're going to implement in the coding.