It is a great compliment to Wear McKinney's "Python for Data Analysis" it is more like a recipe book than the internals as Wes' book is. Also, JVP includes more than just Pandas and NumPy goodies.
Highly Recommend, and fork to create your own curated handbook.
Current Data Science Student at Galvenize in Phoenix here.
I came from a mix of technologies (approximate knowledge, but a master of none) before settling into the data sciences (Python ecosystem).
Galvenize has been precisely the challenge I was looking for and so much more. I barely got by the interview process, but picked up a Veteran Scholarship worth half my $16,000 tuition along the way.
Quit my job as a Salesforce case jockey and currently trying to stay afloat with the curriculum.
It's intense. As it should be. I want it that way. Otherwise everyone would be doing it. A counter argument might be that; "every one and their mother is taking a 'Data Science' title for the pay." From 2013 to now, that may have a lot of truth, but they are eventually found out I hope.
As for my cohort. There is a Physics PhD, undergrads in Mathematics and Physics, an acctuary Statistician from an insurance company, a Mom, and Biology grad, and a Veteran. An elclectic group I feel.
At this point, half way through, we just want to survive and not wash out.
Finally, once capstone projects get rolling in a couple weeks and whom is left of us should be feeling pretty good about their accomplishment and competent to take on entry and junior level Data Science roles.