Ever wonder how Standard Normal and Student-t Distribution z-tables are generated?

I have created a program on github to answer this question with examples and code samples: https://github.com/jlinoff/ztables. It shows how to generate z-tables for Standard Normal Distributions and Student-t Distributions. It also shows how to generate the z-values for specific probabilities from those distributions without using any special libraries.

The program has been tested using Python 2.7.10 and 3.5.

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