Recent submissions

Comment · 9 years ago
Comment · 9 years ago
I use this along with Chris Albons similar repo of recipes (http://shop.oreilly.com/product/0636920023784.do).

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.

Comment · 9 years ago
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.

Comment · 9 years ago

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton