Answer:
Explanation:
Hadoop clusters can boost the processing speed of many big data analytics jobs, given their ability to break down large computational tasks into smaller tasks that can be run in a parallel, distributed fashion.
Answer:
Here’s one!
Given [math]R[/math], the radius of the circle.
Let [math]N,D\leftarrow 0[/math]
Repeat until [math]D[/math] is large enough (about 1,000,000)
[math]x,y\leftarrow U[0,1][/math]
If [math]x^2 + y^2\le 1[/math] then [math]N\leftarrow N+1[/math]
[math]D\leftarrow D+1[/math]
[math]P\leftarrow\frac{8NR}{D}[/math]
Return [math]P[/math]
[math]U[0,1][/math] is a uniform random number in the range [math][0,1][/math].
Explanation:
Answer:
The statement is as follows:
print("{0:,.1f}".format(number))
Explanation:
Required
Statement to print 1234567.456 as 1,234,567.5
To do this, we make use of the format keyword, and we set the print format in the process.
To round up number to 1 decimal place, we use the following format:
"{0:,.1f}"
To include comma in the thousand place, we simply include a comma sign before the number of decimal place of the output; i.e. before 1
"{0:,.1f}"
So, the print statement is:
print("{0:,.1f}".format(number))
Social Engineering.
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