🐍📰 Python Gains frozendict and Other Python News for March 2026 Catch up on the latest Python news: frozendict joins the built-ins, Django patches SQL injections, and AI SDKs race to add WebSocket transport https://lnkd.in/gaKJ84gk
Python News: frozendict Joins Built-ins
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Python 3.12 Delivers Critical Syntax and Performance Upgrades for Production Systems 📌 Python 3.12 hits production with game-changing syntax, slashing boilerplate and boosting speed-thanks to PEP 695’s sleek type hints, f-string power-ups, and async TaskGroup for smoother concurrency. Whether you’re building scalable backends or refining type-safe code, this update delivers tangible performance gains and cleaner, more expressive Python. 🔗 Read more: https://lnkd.in/dU8h3pJr #Python312 #Pep695 #Fstringgrammar #Typesafety
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I recently conducted a performance test comparing Node.js, Python, and Rust under the same workload conditions and the results were eye-opening. Key insights: Rust delivered the highest performance and efficiency, thanks to its compiled nature and low-level control Node.js performed well, especially in handling asynchronous workloads Python, while excellent for rapid development, showed clear limitations under heavier load https://lnkd.in/ePsUDZBF
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I finally understood what actually happens when we run Python code… 🤯 Before this, I thought: You write code → It runs → Done. But today I learned something deeper. Here’s what actually happens behind the scenes: 👉 Your Python code gets converted into BYTE CODE 👉 This byte code is NOT machine code 👉 It runs inside something called the Python Virtual Machine (PVM) Basically… Python doesn’t directly talk to your system. It uses a middle layer. And that’s why it’s: ✔ Platform independent ✔ Easy to run anywhere Also learned: 📁 .pyc files = compiled bytecode ⚙ PVM = runtime engine (interpreter) Honestly… Things feel less “magic” now and more “logical” 🧠 Still a beginner. But slowly understanding what’s happening inside. #Python #MachineLearning #Developers #BuildInPublic
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Did this project using python, what it does is quite interesting. Imagine sorting out or doing some operations on excel sheet one by one, when you have hundreds of lines of rows. This code access your python sheet using "openpyxl" You can access any row or create new row or column, set the limits of rows and columns. This is a very interesting, challenging and amazing project to do. Btw i have shared the project on my Github so anyone can see or use it. LINK: https://lnkd.in/dkQRkicf
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Python Starters Day 15 Foundation Nugget Indentation is for structuring In Python, spacing matters. if True: print("Correct") Remove the indentation, and it breaks. Indentation shows structure by telling Python what belongs together. Many languages use symbols, but Python uses a clean structure. This design choice makes the code readable, as good indentation builds good habits. Follow the Python 🐍 Starters Hub: WhatsApp: https://lnkd.in/dbjAFv52 LinkedIn: https://lnkd.in/dkJE3tZq
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Finally: A paper that ships with Python code. It sure makes it a lot easier to copy and paste: The paper describes a simple way to make smarter investment choices. And it comes with Python code! Download the PDF here: https://lnkd.in/eq8CegBg
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Download x videos without third party's utility. Just use python. Set the environment if needed, pull the required modules: pybalt pyyaml click dotenv aiohttp aiofiles requests fastapi uvicorn prompt_toolkit and run cobalt "x-video-url" -r. The video will saved in Download directory.
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How to Access Dictionary Values in Python Stop crashing your Python code! Learn two bulletproof ways to access dictionary values and dodge those pesky KeyErrors forever. https://lnkd.in/gD2TvaPG
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Beyond Hypermodern: Python is easy now - Chris Arderne, https://lnkd.in/epPRikWA IA Summary: Python development, once a daunting maze of tools and configurations, is now remarkably easy thanks to modern innovations like `uv` and `ruff`. This guide offers a streamlined approach, enabling you to build maintainable projects with unparalleled speed and simplicity, from setup to monorepos. #python #dev #softwareengineering #hypermodern #bestpractices
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Rust is much faster than Python or JS. It's also statically typed and less likely to fail at runtime. In the era of LLM assistants, what justifies writing any new (backend) software in Python or JS?
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