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Talk Python To Me

#58: Create better Python programs with concurrency, libraries, and patterns

Talk Python To Me

Michael Kennedy

Technology

4.8635 Ratings

🗓️ 10 May 2016

⏱️ 55 minutes

🧾️ Download transcript

Summary

What do you focus on once you've learned the core concepts of the Python programming language and ecosystem?

Transcript

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0:00.0

What do you focus on once you've learned the core concepts of the Python programming language

0:03.9

and ecosystem?

0:05.5

Obviously, knowing a few fundamental packages in your space is critical.

0:09.1

So if you're a web developer, you should probably know Flasker Pyramid and SQL Alchemy

0:13.0

really well.

0:14.2

If you're a data scientist, import pandas, numpy, map plot lib, need to be something you

0:18.7

type often and intuitively.

0:20.7

But then what? Well, I have a few

0:22.6

topics for you. This week you'll meet Mark Summerfield, a prolific author of many Python books.

0:27.8

We spend our time digging into the ideas behind his book, Python and practice create better

0:32.2

programs using concurrency, libraries, and patterns. What I really like about these topics is that

0:37.1

they have a long shelf

0:38.2

life. You'll find them relevant over time even as frameworks come and go. This is Talk Python to Me.

0:44.2

Episode 58 recorded May 4, 2016.

0:49.2

I'm a developer, developers, developer, developer in many senses of the word because I make these applications, but I also use these verbs to make this music.

0:59.3

I constructed line by line, just like when I'm coding another software design.

1:04.0

In both cases, it's about design patterns.

1:07.0

Anyone can get the job done.

1:08.4

It's the execution that matters.

1:10.1

I have many interests. Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

1:19.4

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

1:28.2

at talk python. This episode is brought to you by Hired and SnapCi. Think them for supporting

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