Python 3.14 drops GIL, enables multithreading

🐍 Python just went full multicore! For years, Python’s GIL meant “true” multithreading was mostly a myth. Threads existed, but only one could execute Python code at a time. My favorite language was faking multithreading… until now. On October 7, Python 3.14 changed the game. Multiple threads can now run Python bytecode concurrently across CPU cores! 🎉 Why this matters: - Cleaner, faster CPU-bound code without multiprocessing hacks - Thread-safe structures like Java’s ConcurrentHashMap may soon become standard - Opens a new era for high-performance Python apps This release is an engineering marvel, tackling decades of threading challenges while keeping Python’s simplicity intact. Dive into the release notes and see what’s coming: Python 3.14.0 Python is finally embracing true parallelism and as a long time fan, I've been dreaming of this day. Are you ready to write multicore Python? 🚀 https://lnkd.in/g6_ddTCk #Python #Python314 #Programming #SoftwareEngineering #Multithreading #ParallelComputing #HighPerformancePython #OpenSource

Python 3.14 was released two weeks back and introduces many enhancements - such as template strings (t-strings), support for zstd compression etc. However one of the most anticipated features is the introduction of free-threaded Python runtime which is officially supported from this release. This brings us one big step closer to true CPU concurrency with multiple threads in #Python, and breaking away from the dreaded GIL. In this article I discuss examples that demonstrate true CPU concurrency with #GIL free Python using Python 3.14. https://lnkd.in/gT5QFUFE

Updates in Python 3.14 Every Developer Should Know Python 3.14 is finally here and if you’re a developer, whether just starting out or a seasoned pro, you’re going to want to know what this update brings. From small syntax changes that make life easier for beginners to smart performance improvements that advanced developers will love Python 3.14 has something for everyone. Over the years, Python has grown from a simple scripting language into a versatile powerhouse. In this blog, we’ll break it all down, so you can quickly understand what’s new and how it affects your code. Before we jump into the specifics, let’s set the stage. Python 3.14 doesn’t completely change the language, but it adds several helpful improvements. The main themes of this release are: Now the syntax is cleaner and more readable Type hints and annotations have become smarter Performance optimizations under the hood Debugging and tooling support are better These changes will make your coding journey smoother. Python experts have shown that leveraging these updates https://lnkd.in/d7RS9aCd

"Understanding the pivotal role that wheels play in the Python ecosystem can make your life easier as both a user and developer of Python packages. Furthermore, increasing your Python literacy when it comes to wheels will help you to better understand what’s happening when you install a package and when, in increasingly rare cases, that operation goes awry." by Real Python #python #packages #codereuse #librarydevelopment https://lnkd.in/dWGiFhQF

🐍 Python 3.14 is here – and it’s fast! Miguel Grinberg benchmarked Python 3.14 against previous versions, plus PyPy, Node.js, and Rust. The results show: ⚡ Python 3.14 runs ~27% faster than 3.13. 🔥 PyPy remains nearly 5× faster than CPython. 💪 Rust still leads the pack, but CPython keeps closing the gap. Miguel also tested the new JIT and Free-Threading interpreters, highlighting ongoing progress in multi-threaded performance. Read the full benchmark breakdown here 👇 👉 https://lnkd.in/e4r26E-c

🐍📰 Absolute vs Relative Imports in Python In this tutorial, you’ll not only cover the pros and cons of absolute and relative imports but also learn about the best practices for writing import statements. #python

While the free-threaded version of Python 3.14 is still optional, the feature is no longer considered experimental and offers considerable performance improvements over the GIL version. This article looks at how web services benefit from free-threading. #programming #Python #performance #threading #software #webservices https://lnkd.in/eaGJgYnb

Tim Peters, a Python programmer, wrote this now-famous “poem” of guiding principles for coding in Python: The Zen of Python Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one—and preferably only one—obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those!