#20: Interactive Python and Teaching Python: Beyond Text Books

#20: Interactive Python and Teaching Python: Beyond Text Books

What if your computer science textbooks could run their python code samples and that code ran directly in your browser, kinda like JavaScript but better, because: Python. It is possible and Brad Miller is making it happen!

Episoder(519)

#70: Pythonic cover songs at Loudr

#70: Pythonic cover songs at Loudr

Some of the best songs are cover songs of popular music. If you're a musician who wants to create a cover song and actually sell it, you'll be diving deep into complex agreements and legal agreements with record labels. Sounds like no fun to me. But this is where Python comes to the rescue! The guys and girls over at Loudr are using Python to create a service for creating, selling, and distributing cover songs. This week you'll meet one of the co-founders, Josh Whelchel. He's here to tell us all the cool ways Python makes this possible, including a touch of machine learning!

5 Aug 20161h 1min

#69: Write an Excellent Programming Blog

#69: Write an Excellent Programming Blog

Do you have a blog? How many articles have you written for it? Do you find it hard to keep writing or hard to get started doing technical writing? We might be able to help you out with that this week.

26 Jul 201657min

#68: Crossing the streams with Podcast.__init__

#68: Crossing the streams with Podcast.__init__

Have you listened to the other major Python podcast hosted by Tobias Macey and Chris Patti? It's called podcast.__init__ and, like this show, they have some excellent stories from the Python ecosystem on there weekly. So recently some listeners from both shows suggested the unimaginable: That we 'cross the streams'...

20 Jul 20161h 2min

#67: Property-based Testing with Hypothesis

#67: Property-based Testing with Hypothesis

Let's talk about your unit testing strategy. How do you select the tests you write or do you even write tests? Typically, when you write a test you have to think of what you are testing and the exact set of inputs and outcomes you're looking for. And there are strategies for this. Try to hit the boundary conditions, the most common use-cases, seek out error handling and so on.

13 Jul 201658min

#66: Faster Python Programs: Measure, Don't Guess

#66: Faster Python Programs: Measure, Don't Guess

Python is a wonderful programming language that is often underestimated because it's so clear and simple. Oftentimes people mistake this simplicity for being too simple for real-programs. After all, you didn't even struggle to get your program to link against an incompatible static library or battle a DLL version mismatch in your Python app today did you?

7 Jul 20161h 4min

#65: Jump on the real-time web with RethinkDB

#65: Jump on the real-time web with RethinkDB

Long gone are the days of the web acting as just linked documents and glorified brochures. Web apps of today are just that, rich interactive applications. But unlike desktop apps of old, these are apps with 100,000's or even millions of concurrent users.

29 Jun 201659min

#64: Inside the Python Package Index

#64: Inside the Python Package Index

What is the most powerful part of the Python ecosystem? Well, the ability to say "pip install magic_library" has to be right near the top. But do you what powers the Python Package Index and the people behind it? Did you know it does over 300 TB traffic each month these days?

24 Jun 201659min

#63: Validating Python tests with mutation testing

#63: Validating Python tests with mutation testing

Do you think it's a good idea to test your software? Do you write unit tests or other automated verification for code? I think most of us do these days. A key question is how do you know whether your tests sufficiently verify your code? The standard answer is code coverage.

16 Jun 201659min

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