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Based on our record, Python seems to be a lot more popular than Clozure Common Lisp. While we know about 280 links to Python, we've tracked only 5 mentions of Clozure Common Lisp. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The descendant of CCL runs on modern Intel Macs. (It also runs on Linux and Windows but without the IDE.) The modern IDE is quite a bit different from the original. In particular, it no longer has the interface builder. But it's still pretty good. It is now called Clozure Common Lisp (so the acronym is still CCL) and you can find it here: https://ccl.clozure.com/ If you want to run the original that is a bit... - Source: Hacker News / 4 months ago
Just for fun there is also Clozure Common Lisp. https://ccl.clozure.com/. - Source: Hacker News / 7 months ago
I have decided it is time to have some fun and use Common Lisp to create algorithm representation that deals with parallel execution. For this I decided to use Clozure common lisp, put basic Qucklisp there and load some libraries to do this. - Source: dev.to / over 1 year ago
CCL also supports windows: https://ccl.clozure.com/. - Source: Hacker News / over 1 year ago
The only thing I've not seen said yet is that Clozure Common Lisp will probably be smaller at runtime than the more common SBCL. The latter has better support, however. Source: almost 2 years ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 3 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 4 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 4 months ago
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 4 months ago
When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago
Steel Bank Common Lisp - Steel Bank Common Lisp (SBCL) is a high performance Common Lisp compiler.
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CMU Common Lisp - CMUCL is a high-performance, free Common Lisp implementation.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Hy - Hy is a wonderful dialect of Lisp that’s embedded in Python.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible