(by Ronny Errmann)
As mentioned in my last post, I started coding without asking for advice. Which meant I would do things inefficiently. For example to calculate the standard deviation I used the following code:
mittel=sum(l for l in temp)/len(temp)
stdev=math.sqrt(sum((l-mittel)**2 for l in temp)/(len(temp)-1))
Later I learned about numpy, which made things a bit easier:
stdev = numpy.std(temp, ddof=1)
This is also quite a bit more efficient in computing time as it is run in compiled code and not has the overhead of an interpreter language.
Looking back I can smile about the code. In an interview I was once asked about that program if I would do things differently now. To which my answer was a clear yes.