Qt.py on conda-forge
Qt.py is now available on conda-forge!
Qt.py is now available on conda-forge!
Yesterday, @jschueller added pyside2-feedstock
to conda-forge. This means we can now finally install PySide2 easily in Python 2.7, 3.5 and 3.6 on Windows, Linux and macOS using conda.
I've received questions lately on the issues that people are having while attempting to build PySide2 on Windows, macOS and Linux. Instead of building PySide2, there's actually a workaround which works just as well for some people...
Not sure how I didn't learn about this until today. Anyways, if you end up with missing libs on CentOS/RedHat, use repoquery to find missing libs.
A boilerplate which can be used on Windows and Linux/macOS in order to asynchronously run subprocesses. This requres Python 3.6.
It seems Autodesk did not create a Render Setup documentation. This is me collecting code snippets and exploring Python functions.
How do you know a user doesn't have the wrong version of Qt.py when running your application?
– Simple, you bundle Qt.py with your application. Here's a short write-up on how you could go about doing just that.
This is my Visual Studio Code (vscode) setup, with ambitions to create a custom Python IDE.
Quick and easy way to remove all containers (and their volumes) as well as all images:
# Remove containers and their volumes
docker stop $(docker ps -a -q)
docker rm -v $(docker ps -a -q)
# Remove images
docker rmi -f $(docker images -q)
# Remove unused images
docker system prune --all
Combine filters, 'xargs
etc:
Quick note on how to install ffmpeg (using Homebrew) and various mp4 conversion commands on Unix.