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Website | common-lisp.net |
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Website | python.org |
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Based on our record, Python seems to be a lot more popular than Common Lisp. While we know about 280 links to Python, we've tracked only 11 mentions of 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 yin-yang logo with lambdas was designed by Guy Steele, and he has granted permission for its use to Common Lisp Foundation (the entity which runs common-lisp.net website and the gitlab.common-lisp.net repo). Source: about 1 year ago
A wiki and pm tool I personally like a lot, simple, lightweight, is trac but there is no free hosting available — but I could work on hosting on AWS for instance. MoinMoin is also a good and simple wiki. You are using Medium a lot, which could also be a sensible option but it is more a publishing platform than a collaborative platform. Gitlab is also a popular choice I believe and we could use the instance on... Source: over 1 year ago
Does anybody have information how the content on common-lisp.net is handled? Source: almost 2 years ago
Any insight into the current down-time for common-lisp.net? Source: almost 2 years ago
Python seems like a popular option these days and it is different enough from C++ in that it may teach you to think about programming in a different way. You could also try a functional language such as Lisp, Scheme) or Haskell -- they too will make you think differently about programming. Source: about 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 / about 2 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 / 3 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 / 3 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 / 3 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: 4 months ago
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
D (Programming Language) - D is a language with C-like syntax and static typing.
Rust - A safe, concurrent, practical language
F# - F# is a mature, open source, cross-platform, functional-first programming language.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible