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[Book website](http://numpy.d2l.ai/) | [STAT 157 Course at UC Berkeley, Spring 2019](http://courses.d2l.ai/berkeley-stat-157/index.html) | ||
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This version is based on the classic `ndarray` interface. | ||
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This is based on the NumPy interface. | ||
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## Contribute ([learn how](http://numpy.d2l.ai/chapter_appendix/how-to-contribute.html)) | ||
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This open source book has benefited from pedagogical suggestions, typo corrections, and other improvements from community contributors. Your help is valuable for making the book better for everyone. We will [acknowledge](https://www.d2l.ai/chapter_preface/preface.html#Acknowledgments) each D2L contributor in the book and send a free book (hard copy) to the **first 100 contributors** when it is published. | ||
This open source book has benefited from pedagogical suggestions, typo corrections, and other improvements from community contributors. Your help is valuable for making the book better for everyone. We will [acknowledge](https://www.d2l.ai/chapter_preface/preface.html#Acknowledgments) each D2L contributor in the book and send a free book (hard copy) to the **first 100 contributors** when it is published. | ||
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**Dear [D2L contributors](https://github.com/d2l-ai/d2l-en/graphs/contributors), please email your GitHub ID, name, and mailing address to [email protected]. Thanks.** | ||
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year={2019} | ||
} | ||
``` | ||
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