The tool chain for modern data science can be intimidating.

How do you choose between all the data visualization libraries out there?

How about creating interactive web apps from those analysis?

On this episode, we dive into a project that attempts to bring that whole story together,

HoloViz.

HollowViz is a coordinated effort to make browser-based data visualization in Python easier to use,

easier to learn,

and more powerful.

We have Philip Rudiger from HoloViz here to guide us through it.

This is Talk Python-Me, episode 26 podcast on Python, the language, the libraries, the ecosystem, and the personalities.

This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy. Keep up with the show and listen to past episodes at talk python.fm and follow the show on Twitter via at Talk Python. This episode is sponsored by Brilliant.org and Data Dog. Please check out what they're offering during their segments. It really helps support the show.

Philip, welcome to Talk Python to Me. Thanks so much for having you.

I'm excited to have you here.

Now, we're going to talk about a bunch of cool libraries that are all brought together around this HoloViz overall meta project, if you will, to kind of make, yeah, exactly,

this umbrella to make working with data and exploring it and visualizing in Python a little bit easier.

And I think that's a great project and it looks like it's getting a lot of traction.

And I'm happy to be here to chat about it.

So I talk about the various libraries in it.

Yeah, absolutely.

Before we get to that, though, let's start with your story.

How did you get in programming in Python?

So I got started with programming pretty late.

...