#19: Automate the Boring Stuff with Python

What do you do when you are working with an amazing web application that, for whatever reason, doesn't have an API? One option is to say I wish that site had an API and give up. Or, you could use scrapy, an open source web scraping framework from Pablo Hoffman and [scrapinghub.com](scrapinghub.com) and create your own API!

15 Mar 201658min

This episode you'll learn about a project that has the potential to unlock massive innovation around how CPython understands and executes code. And it's coming from what many of you may consider an unlikely source: Microsoft and the recently open-sourced, cross-platform .NET Core runtime.

8 Mar 20161h 3min

When you think of Python web microframeworks, Flask is definitely near the top of the list. With almost 19,000 stars on GitHub it's a powerful and extensible web framework and it even powers the bandwidth intensive audio delivery of the Talk Python To Me podcast.

1 Mar 201649min

This week on Talk Python To Me, we'll dive into the world of typeface and font development. Even though we spend our days immersed in fonts, from our computer interfaces, signs, books, television and more, much of the process and thinking about fonts is invisible to us. If we dig into font development, we'd see that Python is a key component of the font developer's toolkit.

23 Feb 201644min

What did you experience the last time you watched a movie in a theater? Were you captivated by fast-paced action and special effects? Deeply moved by the characters that came to life during those two hours when the outside world just melted away? Yeah, movies are still magical.

16 Feb 201657min

What is the role, the core purpose of writing tests for your application? Should you write more unit tests and fewer integration tests, or is it actually the other way around? You may have heard of the test pyramid with unit tests building the foundation. In this episode we talk about a variation on that theme called the test column. We talk about this and more with Brian Okken on this episode of Talk Python To Me.

9 Feb 201658min

One of the fastest growing areas in Python is scientific computing. In scientific computing with Python, there are a few key packages that make it special. These include NumPy / SciPy / and related packages. The one that brings it all together, visually, is IPython (now known as Project Jupyter). That's the topic on episode 44 of Talk Python To Me.

2 Feb 20161h

What does it take to track detailed analytics and errors from literally thousands of web applications all at once? Could you build such a system entirely in Python?

26 Jan 201639min