CCX Announces Static Compilation of Python Syntax to C++ Executables 📌 CCX lets you compile Python-like code directly into blazing-fast C++ executables, bypassing Python’s interpreter entirely. No runtime overhead, no garbage collection - just pure performance with Python’s syntax and speed. Perfect for developers who want to prototype fast but execute native. 🔗 Read more: https://lnkd.in/dEcYujDx #Ccx #Python #Cplusplus #Staticcompilation #Clang
Compile Python to Native C++ with CCX
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Python 3.15 is adding something developers have wanted for years: an immutable dictionary type. In the latest Dev with Serdar, Serdar Yegulalp explains frozendict, a hashable, immutable counterpart to Python's standard dict. Because it can't change after creation, it can be used in places a regular dict simply cannot, including as a key inside another dictionary or as part of a set. If you work with configuration data, cache keys, or any scenario that requires guaranteed immutability in a mapping structure, this is worth understanding before 3.15 ships. #DevwithSerdar #Python
IFW26_010_Frozendict
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Python 3.15 is adding something developers have wanted for years: an immutable dictionary type. In the latest Dev with Serdar, Serdar Yegulalp explains frozendict, a hashable, immutable counterpart to Python's standard dict. Because it can't change after creation, it can be used in places a regular dict simply cannot, including as a key inside another dictionary or as part of a set. If you work with configuration data, cache keys, or any scenario that requires guaranteed immutability in a mapping structure, this is worth understanding before 3.15 ships. #DevwithSerdar #Python
IFW26_010_Frozendict
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Python "Gotchas": Are you using mutable default arguments correctly? 🐍 In Python, default arguments are evaluated only once at the time of function definition, not every time the function is called. This can lead to unexpected "shared state" bugs that are a nightmare to debug in production. In this video, I break down: ✅ The common mistake with list=[] ✅ Why to=None is the industry standard fix ✅ How to write cleaner, bug-free Python code Have you ever been bitten by this specific Python behavior? Let’s discuss in the comments. #Python #SoftwareDevelopment #Programming #DataScience #CleanCode #TechTips
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Learn how to safely handle missing files in Python. When you try to open a file that does not exist in read mode, Python raises a FileNotFoundError. In this quick tutorial, you will see how to use a try except block to catch the error, create the file automatically, and keep your program running smoothly. This is perfect for beginners and real world applications like logs, configuration files, and user data. Master file handling in Python in under 90 seconds. #python #shorts #pythonerror #FileNotFoundError #exceptionhandling #tryexcept #filehandling #pythontutorial #learnpython #codingforbeginners #errorhandling #programmingtips #pythonprogramming #automation #codingshorts #fyp #viral #softwaredevelopment #pythonbasics #debugging
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Python 🐍 3.14.4 Just Released This release includes several break fixes, including a few related to multiprocessing and asyncio subprocesses. For the full list, see as follows. #python #programming #python3144 #asyncio #multiprocessing https://lnkd.in/g-8qUX_Q
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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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Built a simple Dice Roller using Python. As part of practicing Python basics, I created a small program that simulates rolling a dice. This program: • Generates a random number between 1 and 6 • Allows the user to roll multiple times • Uses loops and user input for interaction Through this project, I practiced: • Random module • Loops • Conditional statements • Handling user input It’s a simple project, but it helped me understand how randomness and control flow work together. Still learning and building step by step. #Python #BeginnerProject #DiceRoller #LearningInPublic #CodingJourney
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I kept seeing coding agents drift into pip install, raw python, and manual dependency edits in Python projects. It works until it doesn’t, and the inconsistency becomes annoying fast, especially when the agent also uses small background Python scripts you did not explicitly ask for. This post is a short reflection on that pattern and the small uv-first setup I now use to keep Claude Code and Codex more consistent across runs. I wrote up the reasoning, the repo-level instruction approach, and the example setup here: https://lnkd.in/dAvyjEwr
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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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