Inno Setup VS Cython

I’ve had to do this before and it some what sucks but if you do have a look at Inno Setup. Source: 5 months ago

Use Inno Setup. It's comparably sized, VSCode uses it and GOG.com uses customized builds of it (it's open-source but written in Delphi), and it has a much more declarative (though still extensible) approach that does do stuff like uninstall tracking by default. Source: 12 months ago

We eventually settled on a combination of InnoSetup with InnoSetuo Dependency Installer and NetSparkle which offered a much cleaner experience and use of AzureAD Authentication for Azure Storage Blobs (for updates) as well as InTune Deployments with proper version detection. Source: about 1 year ago

You don't typically make these things yourself from scratch, you use a tool that does it for you. E.g. InnoSetup: https://jrsoftware.org/isinfo.php. Source: about 1 year ago

The two most popular such installers are Inno Setup and NSIS. Inno is much easier to use (and will handle most tasks automatically), while NSIS creates somewhat smaller installers (but requires you to basically micromanage everything). Source: about 1 year ago

Https://cython.org can help with that. - Source: Hacker News / 19 days ago

The approach that I favour is to use Cython. The nice thing with this approach is that your code is still written as (almost) Python, but so long as you define all required types correctly it will automatically create the C extension for you. Early versions of Cython required using Cython specific typing (Python didn't have type hints when Cython was created), but it can now use Python's type hints. Source: 11 months ago

Just for reference, * Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11." * Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles. * Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... Makes writing C... - Source: Hacker News / 12 months ago

Profile and optimize the hotspots with cython (or whatever the cool kids are using these days... It's been a while.). Source: about 1 year ago

JIT essentially means generating machine code for the language on the fly, either during loading of the interpreter (method JIT), or by profiling and optimizing hotspots (tracing JIT). The language itself can be statically or dynamically typed. You could also compile a dynamic language ahead of time, for example, cython. Source: about 1 year ago