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@@ -23,16 +23,13 @@ This book has an unusual development design. The content is open-sourced, meanin
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Authors submit content or revisions using the GitHub interface. After a major revision or addition, we collect all the content, compile it to a
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PDF, and increment the version of *Bayesian Methods for Hackers*.
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Similarly, our royalty system is different. Instead of a publisher-author-take-all system, we will experiment with a fractioned-royalty system. An author's
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annual royalty is proportional to the fraction of content he or she contributed to the project at the end of each year. Even if an author's content is removed in a later version of
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the book, the author will still possess a non-zero fraction of the *total* contributions. Further details will be published soon.
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Finally, our reader-purchase system is different. Readers can choose how much to pay for the book, including $0.
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Contributions and Thanks
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-----
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Thanks to all our contributing authors, including (in chronological order):
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-[Cameron Davidson-Pilon](http://www.camdp.com)
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- Andrew Hand
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One final thanks. This book was generated by IPython Notebook, a wonderful tool for developing in Python. We thank the IPython
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community for developing the Notebook interface. All IPython notebook files are available for download on the GitHub repository.
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### How to contribute
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####Installation and configuration
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- In the styles/ directory are a number of files that are customized for the book. These are not only designed for the book, but they offer many improvements over the
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default settings of matplotlib and the IPython notebook.
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- Currently the formatting of the style is not set, so try to follow what has been used so far, but inconsistencies are fine.
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####Commiting
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- all commits are welcome, even if they are minor.
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####Contact
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Contact the main author, Cam Davidson-Pilon at [email protected] or [@cmrndp](https://twitter.com/cmrndp)
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