| Unit 47 | Doing Stats the Python Way |
Python support for random numbers and statistics is scattered across several modules: statistics, numpy.random, pandas, and scipy.stats.
Generating Random Numbers
The numpy.random module has random number generators for all major probability distributions.
Early in this book (here), you learned that data analysis code should be reproducible: anyone should be able to run the same program with the same input data and get the same results. You should always initialize the pseudo random seed with the seed function. Otherwise, the generators produce different pseudo random sequences with every program run, which may make the results hard or impossible to reproduce.
| | import numpy.random as rnd |
| | rnd.seed(z) |
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