Grzegorz Bokota
I'm napari (napari.org) core team member and Assistant Professor on University of Warsaw,
My background are Math and Computer Science.
As a daily task in napari project I focus on debug edge case, improving code efficiency and API to allow user focus on solving problems, not reinventing wheels.
napari
maintainer of napari project
Session
When writing Python code for scientific applications, you may reach a point where you want to share your work with collaborators that don't code. But what if you do not want to require them to set up Python environments or act as their tech support?
There are tools to avoid that by converting your Python code into executable that can be run without Python setup, and with all dependencies included.
In this talk I will share my experience with using some of those tools like PyInstaller and Conda constructor and how you could do the same.
Showed solutions might be used for both CLI script and application with graphical Interface.
Importantly, I will also mention some of the callenges that you might encounter and how to solve them.