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Code Club is an opening for us to learn Python and R programming and analyze data better. In each session, we’ll present background material, separate members to work on several exercises, and then come back to share solutions and question. The whole session should not last more than one hour.

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In this code, we are exploring Poisson distributions with and without truncation using Python. We will generate random data points from Poisson distributions and fit Poisson probability mass functions to the data. Truncation involves setting values less than 1 to 1 in order to investigate the effects of truncation on the distribution.

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Repo for the material used during conference tutorial and talks

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