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2017

...Bees?

  • em Resources
  • 1 min de leitura

…Bees?

Cross-platform application development is a holy grail of software engineering. Write once, run everywhere - desktops, mobiles, and the web. There have been many attempts at this over the years, but the absolute pinnacle of this art form is to have no-one notice - you want your apps to look and feel like native apps so that your users can't tell. Bonus points is if your development happens in a language you already know and use. This is the goal of BeeWare: a suite of application tools and libraries that to develop native cross platform applications in Python. During this short presentation Katie will take you on a tour of the BeeWare stack, and describe how we've used the project as an incubator for new open source contributors around the world.

(The talk was unfortunately not recorded, but Katie has recorded a screencast for us!)

As seen at GitHub Constellation Sydney.

Covered in Bees! Deploying an app to 6 platforms in 20 minutes

  • em Resources
  • 1 min de leitura

Covered in Bees! Deploying an app to 6 platforms in 20 minutes

Have you ever wanted to write a GUI application you can run on your laptop? What about an app that you can run on your phone? Historically, these have been difficult to achieve with Python, and impossible to achieve without learning a different API for each platform. But no more.

BeeWare is a collection of tools and libraries that allows you to build cross-platform native GUI applications in pure Python, targeting desktop, mobile and web platforms. In this talk, you'll be introduced to the BeeWare suite of tools and libraries, and see how you can use them to develop, from scratch, a simple GUI application that can be deployed as a standalone desktop application, a mobile phone application, and a single page webapp - without making any changes to the application's codebase.

As seen at PyCon AU 2017.

A new yak for the herd: BeeKeeper

  • em Buzz
  • 6 min de leitura

A new yak for the herd: BeeKeeper

Testing is a skill that is a vital part of every programmer's training. Learning how to write good tests helps you write more robust code, and ensures that when you've written code that works, it keeps working long into the future. It can also help you write better code in the first place. It turns out that well architected code, with high cohesion and low coupling, is also easy to test - so writing code that is easy to test will almost always result in better overall code quality.