Talk Python To Me

Could you write me a Python app for the wide range of platforms out there? Oh, wait, I want them to be native GUI applications. And I need them on mobile (Android, iOS, tvOS, and watchOS) as well as major desktop apps. I also need them to appear indistinguishable from native apps (be a .app on macOS, .exe on Windows, etc).

What kind of applications can you build with python? You hear me featuring many people on this show that build websites, web services, or some data science driven application. Of course, all of those are wonderful but I know many of you have dreamed of building a game.

Many of you write to me and tell me how you appreciate the way my guests and I highlight a particular Python package at the end of each episode. Well if you enjoy that little segment, you're going to love this episode.

Many of you write to me and tell me how you appreciate the way my guests and I highlight a particular Python package at the end of each episode. Well if you enjoy that little segment, you're going to love this episode.

Even with solar panels on your roof, it’s possible that your home is still being powered by fossil fuels. Climate innovator and Python developer Anna Schneider is trying to change that. At her company WattTime, consumers can source the cleanest energy available on the grid.

Do you like to play games or solve puzzles? Chances are pretty good that you do. After all, what is programming and software development but one really elaborate puzzle?

Have you heard of IronPython and Jython? These two alternate implementations of Python were created by Jim hugunin. They run on top of the .NET and JVM runtimes. On this episode going to look at the story of IronPython. It's been around for many years. Although the last few years, it's been somewhat stagnant. That's why I am thrilled to introduce you to Alex Earl, who along with Benedikt Eggers, has become the maintainer of the IronPython project. It's great to see IronPython getting the attention it deserves. We'll talk about IronPython past, present, future on this episode of Talk Python To Me.

In this episode we catch up with David Crook, a developer evangelist at Microsoft. He is a co-organizer for the Fort Lauderdale Machine Learning User Group and is involved in many more user groups and meetups. You hear about some really cool projects where they are using Python and TensorFlow to work on simple things like growing more food to help feed the world.

What happens when you take a tech-driven online fashion company that is experiencing explosive growth and infuse it with a deep open-source mission? You'll find out on this episode of Talk Python To Me.

Writing good, clean code and having a deep working knowledge of Python is critical to your success as a Python developer. But if you look at those who have truly excelled in their career, it's often because they bring something in addition to coding skills.

Writing good, clean code and having a deep working knowledge of Python is critical to your success as a Python developer. But if you look at those who have truly excelled in their career, it's often because they bring something in addition to coding skills.

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!

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.

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'...

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.