This post is a solution to the problem taken from Abu-Mostafa, Yaser S., Malik Magdon-Ismail, and Hsuan-Tien Lin. Learning from data. Vol. 4. New York, NY, USA:: AMLBook, 2012..
Quoted text refers to the original problem statement, verbatim.
For more solutions, see dsevero.com/blog.
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A sample of heads and tails is created by tossing a coin a number of times independently. Assume we have a number of coins that generate different samples independently.

Here we will show you how to properly use the Python Data Analysis Library (pandas) and numpy. The agenda is:
How to load data from csv files The basic pandas objects: DataFrames and Series Handling Time-Series data Resampling (optional) From pandas to numpy Simple Linear Regression Consider leaving a Star if this helps you.
The following ipython magic (this is literally the name) will enable plots made by matplotlib to be rendered inside this notebook.

Mathematical proof of functionality, of a highly efficient pseudo-random number generator: The Ziggurat Method

How can we keep the simplicity and power of pandas, while extending it to be out-of-core and parallel?

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