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If your application is slow at coming up, that will be true without PyInstaller as well. In that case, your only solution is either a splash screen (import just PyQt, create QApplication, create a display the splashscreen, then import the rest of your program and run it), or rework your code.
19 sty 2018 · How to speed up Python application startup time. # python. I hear pipenv 9.0.2 is released with major startup time improvement. I tried it soon and I didn't feel it's fast. So I investigated it with Python 3.7's new feature. In this article, I introduce the feature and how to use it. Startup time ≒ import time.
If creating and/or destroying the new interpreter is what takes the time, then one possible way to speed it up is to freeze the object graph of a newly created interpreter. That would work roughly as follows: Modify CPython to walk the object graph, immediately after interpreter creation, dumping it to a text file.
How to install and run your code with PyPy. How PyPy compares with CPython in terms of speed. What PyPy’s features are and how they make your Python code run faster. What PyPy’s limitations are. The examples in this tutorial use Python 3.6 since that’s the latest version of Python that PyPy is compatible with. Python and PyPy.
4 wrz 2018 · Here’s where it gets interesting: fork()-only is how Python creates process pools by default on Linux, and on macOS on Python 3.7 and earlier. The problem with just fork()ing. So OK, Python starts a pool of processes by just doing fork().
I've spent a while trying to improve IPython startup time (it's still pretty bad, but it's been worse), so I'm excited to see that Python 3.7 will make this easier to test. One trick I like to do is to simulate a cold start to get an idea of the worst case performance.
You should always test these tips with your application and the specific version of the Python implementation you intend to use and not just blindly accept that one method is faster than another. See the profiling section for more details.
