I feel really anxious. The more I learn, the more I realise I don't know anything. I could have just learnt something, and yet, when I do the drill required of me, I take forever. I guess I went through a similar rollercoaster of emotions when I first learnt to paint. It takes me awhile to give myself a pep talk to convince myself to press on. This is really putting a dent in my confidence. Or should I say, blasting a gaping hole. I am constantly questioning myself. Can I really do this? Do I have the aptitude? It is not that I don't have the interest. I actually do find programming quite interesting. I do wonder if there will ever come a day when I will feel confident doing it. Right now, I just want to curl up in a ball of self pity.
It's definitely been a bit since I've seen this graphy. Anyone who has learnt about standard deviation knows this graph. Standard Deviation Standard deviation shows us how spread out all the values in a set are from the mean. The higher the standard deviation, the more spread out the values are over a wider range and the flatter this curve. In a normal distribution, most values are within 1 standard deviation from the mean(the green part of the graph). Apparently NumPy can calculate standard deviation too! import numpy numSet = [ *lots of numbers* ] numSetStdDev = numpy.std(numSet) Variance The variance also indicates how spread out the values in a set are. It measures the average degree to which each value differs from the mean. variance = standard deviation ^2 import numpy numSet = [ *lots of numbers * ] numSetVar = numpy.var(numSet) Source: https://www.w3schools.com/python/python_ml_standard_deviation.asp
Comments
Post a Comment