Solving Python Package Creation For End User Applications With PyOxidizer

Summary Python is a powerful and expressive programming language with a vast ecosystem of incredible applications. Unfortunately, it has always been challenging to share those applications with non-technical end users. Gregory Szorc set out to solve the problem of how to put your code on someone else’s computer and have it run without having to rely on extra systems such as virtualenvs or Docker. In this episode he shares his work on PyOxidizer and how it allows you to build a self-contained Python runtime along with statically linked dependencies and the software that you want to run. He also digs into some of the edge cases in the Python language and its ecosystem that make this a challenging problem to solve, and some of the lessons that he has learned in the process. PyOxidizer is an exciting step forward in the evolution of packaging and distribution for the Python language and community. 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Your host as usual is Tobias Macey and today I’m interviewing Gregory Szorc about his work on PyOxidizer, a revolutionary new approach to building and distributing self-contained Python applications Interview Introductions How did you get introduced to Python? Can you start by giving an overview on the shortcomings of the current state of the art for distributing Python projects, both for deployment and end-user consumption? What is PyOxidizer and what motivated you to create it? How does PyOxidizer differ from projects such as CxFreeze, Py2Exe, or Shiv? What are the characteristics of CPython and the packaging ecosystem that make it so challenging to easily distribute self-contained applications? For someone using PyOxidizer, what is their workflow for building an executable that they can share with end users? What are some of the edge cases or special considerations that they need to be aware of? How is PyOxidizer implemented? How has the design or direction evolved since you first began working on it? From your experience in working on PyOxidizer, what changes would you like to see in the Python language or the CPython reference implementation? What are some of the most interesting, unexpected, or challenging lessons that you have learned while working on PyOxidizer? What do you have planned for the future of PyOxidizer? What are the ways that listeners can contribute to PyOxidizer? Keep In Touch Website indygreg on GitHub Picks Tobias Carlos Santana Gregory Home Air Quality Monitor Closing Announcements Thank you for listening! Don’t forget to check out our other show, the Data Engineering Podcast for the latest on modern data management. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at pythonpodcast.com/chat Links PyOxidizer Mercurial Podcast Episode Mozilla Virtualenv Pip Docker Py2Exe CXFreeze Beeware Shiv FPM Python Build Standalone Importlib Rust Russell Keith-Magee Black Swans Keynote Followup Podcast Episode The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA