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@@ -26,8 +26,8 @@ There's a ton of information about NumPy out there. If you are just starting, we
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<iclass="fas fa-book"></i> **Books**
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*[Guide to NumPy *by Travis E. Oliphant*](https://web.mit.edu/dvp/Public/numpybook.pdf) This is the first edition of the book published in 2006. For the latest edition released in 2015, [click here](https://dl.acm.org/doi/10.5555/2886196).
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*[From Python to NumPy *by Nicolas P. Rougier*](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)
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*[Guide to NumPy *by Travis E. Oliphant*](https://web.mit.edu/dvp/Public/numpybook.pdf) This is the first and *free*edition of the book. To purchase the latest edition, [click here](https://www.amazon.com/exec/obidos/ASIN/151730007X/acmorg-20).
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*[From Python to NumPy *by Nicolas P. Rougier*](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)*(free)*
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*[Elegant SciPy](https://www.amazon.com/Elegant-SciPy-Art-Scientific-Python/dp/1491922877)*by Juan Nunez-Iglesias, Stefan van der Walt, and Harriet Dashnow*
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You may also want to check out the [Goodreads list](https://www.goodreads.com/shelf/show/python-scipy) on the subject of "Python+SciPy." Most books there are about the "SciPy ecosystem," which has NumPy at its core.
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