PyInstaller VS Cython

PyInstaller. You'll end up with a ridiculous 150 MB executable file if you aren't careful, but it works. - Source: Reddit / 3 days ago

There are lots of cool options for Pyinstaller that you can learn all about them from the official docs 🤩. - Source: dev.to / 6 days ago

I wanted to try pyinstaller with my current flask app, but haven't found the time. Maybe it'll work for you. - Source: Reddit / 10 days ago

PyInstaller is probably what you’re after: https://pyinstaller.org/en/stable/. - Source: Reddit / about 2 months ago

Futhermore, without diving too deep in the complexity of Python decorators, I'd recommend you use the property and setter decorators for your script, instead of conventional methods. - Source: Reddit / 2 months ago

As you can see, in this benchmark Starlite handily beats even blakchseep, a notoriously fast ASGI framework written in Cython. - Source: Reddit / 18 days ago

How does this relate to https://cython.org/ ? Would it be possible to write performance-sensitive parts of a Python system in Codon and link that to a CPython or PyPy runtime that supports more dynamic features? - Source: Hacker News / about 2 months ago

If you're already familiar with python and numpy, you might want to look into cython as an intermediate step before going straight into C. It allows you to compile most python code into a static binary that can be imported into a python script just like any other library. This allows you to get performance close to raw C without having to invest much effort, and has a lot of bells and whistles like... - Source: Reddit / 2 months ago

Now I understand why you didn't like it. As is with most libraries cross compiling with python is not as easy as it sounds. Only pure python code is cross platform everything else needs specific instructions for compilation. Can be tedious in some cases. PyO3 looks interesting. Is there anything equivalent to cython for rust? Cython is a very popular way to export computer intensive tasks to c with a python like... - Source: Reddit / 3 months ago

Pandas is a Python library for PANel DAta manipulation and analysis, example: multidimensional time series and cross-sectional data sets commonly found in statistics, experimental science results, econometrics, or finance. Pandas is implemented primarily using NumPy and Cython; it is intended to be able to integrate very easily with NumPy-based scientific libraries, such as statsmodels. - Source: dev.to / 3 months ago