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Thoughtworks Technology Podcast

The future of Python

Thoughtworks Technology Podcast

Thoughtworks

Technology, Careers, Business

4.558 Ratings

🗓️ 30 April 2020

⏱️ 33 minutes

🧾️ Download transcript

Summary

The increased emphasis on machine learning in the enterprise also seen resurgent interest in Python. What makes Python different from other languages? What are the main features that make it unique? And where will Python go from here? In this episode, our podcasts chat to Luciano Ramalho, from ThoughtWorks Brazil — a renowned author of books on Python — about dunder methods, fast fails and what’s new in the upcoming second edition of Fluent Python.

Transcript

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0:00.0

Hello and welcome to the ThoughtWorks Technology Podcast.

0:12.0

My name is Alexei.

0:13.0

I'm the head of Technology for Thoughtworks Brazil, and I will be one of your hosts this time,

0:17.5

together with Mike Mason.

0:19.0

Hello, Mike.

0:20.0

Hello, Alexei. My name is Mike, and I'm a global head of technology here at Thorworks.

0:26.0

And this time we're delighted to have Luciano Hamalio.

0:29.5

Luciano is the author of the O'Reilly Fluent Python book.

0:33.1

Hello, Luciano.

0:34.1

Would you mind introducing yourself?

0:35.8

Hello.

0:36.6

I'm proud to be a principal consultant at ThoughtWorks in Brazil in the Sao Paulo office.

0:43.3

And I joined ThoughtWorks about four and a half years ago.

0:48.3

And I am now working on the second edition of my book, as well as helping with other things

0:58.0

at ThoughtWorks, such as preparing our great Xconference that's going to happen in April,

1:04.2

in Sao Paulo, and other things.

1:08.5

Oh, that's awesome.

1:09.8

Well, it looks like a very good timing for us to talk about Python then,

1:13.0

since you're working on the second edition of the book. And now Python has featured in our own

1:20.4

technology radar quite a couple of times recently, and many of them connected to data.

1:27.7

So maybe why don't we start there?

1:30.1

So Python is quite popular for data.

...

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