For loops are very convenient. With a combination of a for loop and some if-else statements you can do just about anything. There’s just one problem though, for loops are kinda slow. There are many ways to speed up the code, the best usually, in the data science world, to use vectorized NumPy or Pandas … Continue reading Multiprocessing in Python for Data Science