Python for Data Analysis is a great choice for sure. I think Think Python <http://greenteapress.com/thinkpython/html/index.html>, by Allen Downey is also a great alternative for beginners. I've written a short piece with 3 free books to get started: https://blog.rmotr.com/the-3-python-books-you-need-to-get-started-for-free-9b72a2c6fb17
On Wed, Nov 28, 2018 at 12:51 PM Brian Oney via Python-list < python-list@python.org> wrote: > On Wed, 2018-11-28 at 08:44 -0600, Skip Montanaro wrote: > > What do people recommend? The target is Python 3.6 and 3.7. The > > audience at work is a mostly financial/statistical crowd, so exposure > > to things like Pandas would be nice, though I'm sure there are > > dedicated books for just that. > > Given your audience "Python for Data Analysis, 2nd Edition" by Wes > McKinney would suit well. The Python tutorial should suit for basic > syntax. > > HTH > -- > https://mail.python.org/mailman/listinfo/python-list > -- Santiago Basulto.- Co-founder @ rmotr.com -- https://mail.python.org/mailman/listinfo/python-list
