Qt and opencv app not working in virtual environment
I created a GUI app using pyqt5 and opencv. The app works fine without activating the virtual env but when I activate the virtual env and run the app it shows this error:
I created a GUI app using pyqt5 and opencv. The app works fine without activating the virtual env but when I activate the virtual env and run the app it shows this error:
While porting code from Python 2 to Python 3, I run into this problem when reading UTF-8 text from standard input. In Python 2, this works fine:
I am trying to read in a dataset called df1, but it does not work
I am using pygame, python3.9, I want to make to return which side(rect1) is collided with rect2.
I’ve already tried this but it dosen’t work. I just want internal module and pygame.(sorry for bad english)
I am using python 3.4 on windows 7. In order to open a doc file I am using this code:
I am using Python 3.3.0, on windows 64bit.
I recently start teaching myself game programming. Someone recommend me to start with Python and I got the book “Beginning game development with Python and Pygame: From novice to professional”. I got to a part where they teach about Vectors and creating a Vector2 class. Everything was going well until I tried to overload the division operator.
My code goes like this:
I have installed virtualenv in my localhost to run a django app with 1.8 version but when running it the css and js files doesn’t load.
I’ve been dealing with this for days now and hope to find some help. I developed a GUI-application with imported modules tkinter, numpy, scipy, matplotlib, which runs fine in python itself. After having converted to an exe everything works as expected, but NOT the matplotlib section. When I press my defined plot button, the exe simply closes and doesn’t show any plots.
So I thought to make a minimal example, where I simply plot a sin-function and I’m facing the same issue:
Works perfect in python, when converting it to an exe it crashes when pressing the plot button. Here is the minimal example:
The docs only say that Python interpreter performs “basic optimizations”, without going into any detail. Obviously, it’s implementation dependent, but is there any way to get a feel for what type of things could be optimized, and how much run-time savings it could generate?