It's time to catch up with the Anaconda crew and see what's new in the Anaconda distribution.

This addition to Python was created to solve some of the stickier problems around deployment,

especially in the data science base.

Their usage gives them deep insight into how Python is being used in the enterprise space as well.

And that turns out to be a very interesting part of the conversation.

Join me and Peter Wang, CTO at Anaconda Inc.

On this episode of Talk Python and Me, number 198, recorded January 16, 2019. Welcome to Talk Python to me, a weekly 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 a show and listen to past episodes at TalkPython.fm and follow the show on

Twitter via at TalkPython. This episode is sponsored by Linode and Rollbar. Please check out what they're

offering during their segments. It really helps support the show. Peter, welcome to Talk Python.

Thank you very much. I'm very happy to be here. I'm happy to have you here. It's been a while since we've talked about Anaconda. I had Travis Olofant on the show way back when, but it seems like it's time

for a catch-up on what you all have been up to. Yeah, well, there's been a lot going on. It's

definitely one of the employees has commented that every six months it feels like a different company. And we do, yeah, the space is evolving very quickly. We're trying to just

keep up with it. So you would say this data science thing, not a fad. It's probably going to be around

for a while. At this point, I think I'm going to go on a limb and say it's probably going to be around

for a little while. I've been speaking English.

I got a PC when I first came here to the United States, so I was very lucky.

But I actually majored in physics, and out of college, I started going to computer programming as a profession.

And I did a bunch of C++, but I discovered that I discovered this thing called

Python on slash dot. And I think they announced the version 152. And I was like, fine, I'll go take

a look at it. And I started playing with it. And I just fell in love. And so my day job was like

getting beat up by C++ templates and out of compliance compilers. And at night, I just hack on Python.

So finally, after a few years of this, I ended up moving to Austin. I got a job doing Python as my day job,

...