cl-autowrap VS CPython

> Lack of access to the C libraries.

???

I recently started learning Common Lisp for fun (and fun it is!) and the ease of accessing C libraries was one of the things that surprised me in a positive way.

Using https://github.com/rpav/cl-autowrap one can simply write (c-include "file.h") and the API defined in "file.h" is accessible from Lisp. I can't think of a simpler way.

Even without cl-autowrap, FFI using https://cffi.common-lisp.dev/ seems simple enough.

I think the closest is cl-autowrap. I can imagine a higher level wrapper around it by which it can translate the python header file into the CL counterpart, although I'm not sure how much work the translation might entail. Also, because python and lisp semantics can differ considerably, the generated code might be trying to do weird things - again an issue of translation.

Common lisp has a "pretty OK" story for calling C code whenever some speed is needed [0,1]. In my opinion, they suffer from some of the documentation/quick start problems that common lisp has, but they're otherwise usable.

Some of Naughty Dog's late 90's/early 2000's games (Jak and Daxter, Jak II) were written in a lisp called GOAL, Game Oriented Assembly Lisp [2]

[0] https://github.com/rpav/cl-autowrap

The closest thing to what you request, that I'm aware of, is cl-autowrap (to use C code from Lisp) but it is not standard in any way. CFFI is the de facto standard for using C from Lisp across different implementations.

:claw tracks back to 2017 as a fork of cl-autowrap with cl-autowrap/pull/83 feature.

If you're interested in FFI, then yeah CFFI is the standard. The other comments addressed speed, I also wanted to point out https://github.com/rpav/cl-autowrap which is built on top of CFFI and can help get a wrapper up and running faster. After using autowrap's c-include you can then use CFFI basically like normal or some useful autowrap/plus-c's helper functions -- e.g. in one project, I have an SDL_Event (https://wiki.libsdl.org/SDL_Event) and to access event.key.keysym.scancode I have a helper function that's just (plus-c:c-ref event sdl2-ffi:sdl-event :key :keysym :scancode). Last year I wanted to try out using FMOD, and even though it's closed source and has a (to me) "interesting" API things worked easily: https://gist.github.com/Jach/dc2ec7b9402d0ec5836a935384cacdc... More work would be needed to make a nice wrapper, type things more fully, etc. but depending on the C library you might find someone's already done that (or made a start) and made it available from quicklisp.

In recent years there has also been cl-autowrap; caveats -

There is the cl-autowrap that can generate lisp packages from C header filesc- I am unsure if it sticks to ANSI C or goes beyond. It inturn depends on c2ffi for the first time around.

Web Scraping Tool Development: Develop a Python based web scraping tool capable of extracting data from targeted web pages on Yahoo Finance and presenting the data extracted in a readable format. Our target site relies on AJAX to load and update the data dynamically so we will need a tool that is capable of processing JavaScript.

Dealing with piles of papers or scattered Excel sheets for employee information can be a real headache, right? Well, what if I told you there's a smoother way to handle all that? A system that lets you easily store, update, and find details about your employees in just a few clicks. Sounds neat, doesn't it? In this article, we're going to explore creating an employee management system using Python, Tkinter, and SQLite3.

Python is a versatile tool, and today we're delving into a practical use case that can simplify your daily routines. With the datetime module at your disposal, handling dates and times becomes a breeze, making it perfect for crafting accurate and dynamic product receipts. Whether you're a seasoned Python pro or just starting your coding journey, this article will guide you through each step with ease.

When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.

> It provides a meaningful performance improvement for at least one popular platform (realistically, on the order of 5%).

At first it will not provide a large boost, but it will set the foundations for larger gains in subsequent releases. They link a list of some proposed improvements already underway, with improvement estimates, at https://github.com/python/cpython/issues/115802

After that, with the basics of software engineering understood, I would move on to a wider use language, with a bigger ecosystem to employ, most likely Python. This would expose me to large system design / distributed systems and architectural challenges...

Have you ever felt like your photos needed a little extra touch to stand out? Well, get ready because we're about to learn a cool Python trick! We're going to take ordinary photos and turn them into awesome pencil sketches using Python and OpenCV. This will make your pictures look like they were drawn by hand!

Have you ever found yourself in a situation where you needed to convert a bunch of images into a PDF file quickly and efficiently? Imagine the convenience of converting a series of images from your recent trip into a single PDF album with just a few clicks. In this article, we will cover the process of building an Image PDF Converter App using Python. With the help of libraries like tkinter, os, and Python Imaging Library (PIL), we'll walk through the process of creating a powerful tool that can streamline this task for you.

If you've ever wanted to learn how to use Python or if you already know a bit and want to try something new, then you're in the right place! In this article, we'll show you step-by-step how to make your very own calculator using Python's Tkinter library, a renowned Python library for creating graphical user interfaces. Tkinter stands out for its simplicity, versatility, and widespread use in the Python community. It doesn't matter if you're a total beginner or an experienced coder looking for a fun project, we'll guide you through everything you need to know.

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.