On Sun, 16 Dec 2012 14:52:28 +0100, Ralf Gommers <[email protected]> wrote: > > Does anyone have an informed opinion on the quality of these books: > > "NumPy 1.5 Beginner's Guide", Ivan Idris, > http://www.packtpub.com/numpy-1-5-using-real-world-examples-beginners-guide/book > > "NumPy Cookbook", Ivan Idris, > http://www.packtpub.com/numpy-for-python-cookbook/book
Some reviews on first title: http://gael-varoquaux.info/blog/?p=161 http://glowingpython.blogspot.com/2011/12/book-review-numpy-15-beginners-guide.html Gael noted http://scipy-lectures.github.com/ which IMHO could be more promoted. Same for Travis' free Numpy book. The second title is very fresh, I don't know if anyone did review, but seems like good companion. > "Python for Data Analysis", Wes McKinney, > http://shop.oreilly.com/product/0636920023784.do This is already allover pandas, and although there is introduction to numpy, it's more focused on pandas data object model then numpy arrays, logically. > "SciPy and NumPy", Eli Bressert, > http://shop.oreilly.com/product/0636920020219.do This is very short introductory course to numpy and scipy in 40 pages and next 10 pages about scikit.learn and scikit.image > The first 5 books at > http://stackoverflow.com/questions/4375094/numpy-what-are-the-authoritative-numpy-resources-e-g-documentation-tutorial Voted answer contains great suggestions. All those books are very good companions, especially those Springer published. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
