Pure Data Reviews

Python Reviews

Pure Data mentions (38)

• Python Notebooks for Fundamentals of Music Processing

  My most recommended method for beginners has always been PD (https://puredata.info/) combined with The Theory and Technique of Electronic Music: (https://msp.ucsd.edu/techniques/latest/book.pdf) and this book (https://mitpress.mit.edu/9780262014410/designing-sound/). Eli's tutorials on SuperCollider are also very helpful: https://www.youtube.com/@elifieldsteel Of course, my project Glicol can also be helpful for... - Source: Hacker News / 16 days ago

• AI can now master your music

  For node based workflows, check out Max or Pure Data. https://cycling74.com/products/max https://puredata.info/. - Source: Hacker News / 4 months ago

• New To Lighting Design, Looking for guidance

  Tools like Ossia Score, Chataigne and PureData (pd) can also help a ton in building interactive art and triggering other A/V software. Source: about 1 year ago

• WebPd 1.0.0 alpha released !

  WebPd is a highly modular compiler for audio programming language Pure Data allowing to run .pd patches on web pages. It converts the audio graph and processing objects from a patch into plain human-readable JavaScript or WebAssembly which can then be integrated directly into any web application. Source: about 1 year ago

• Is there any alternative to sonic pi?

  You might also be interested in the very different Pure Data (http://puredata.info/) environment, which is also free and open-source. It uses a visual programming approach, which many people like but if you are already a programmer it might seem inconvenient in comparison. Source: over 1 year ago

Python mentions (282)

• Choosing Between AIOHTTP and Requests: A Python HTTP Libraries Comparison

  Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 7 days ago

• Marking macOS component packages available based on hardware platform type

  Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 1 month ago

• Python String Formatting: A Comprehensive Guide to F-strings

  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 / 4 months ago

• Don’t Block entire Python Thread: Use Asynchronous Programming Instead

  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 / 5 months ago

• A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices

  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 / 6 months ago