Sharing a short write-up on Python concurrency using the concurrent.futures module. The article explains when to use ThreadPoolExecutor vs ProcessPoolExecutor, with simple examples for I/O-bound and CPU-bound workloads. Read the full blog here: https://lnkd.in/d6cXa2Fi #Python #DataEngineering #SoftwareEngineering #Backend
Python Concurrency with concurrent.futures
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Learn how Python's C3 linearization algorithm computes the Method Resolution Order (mro) for multiple inheritance, resolving the diamond problem deterministically. https://lnkd.in/dWFXS9_k
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Python the language is what we write. The interpreter (usually CPython) is the program that translates that code into machine instructions at runtime. Unlike compiled languages, translation happens while the program runs, which brings flexibility and portability. Python also converts code to bytecode first, then machine code — and often relies on compiled libraries under the hood for performance-critical work. Learn more: https://bit.ly/4bbzJJM
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Built a small Python tokenizer! It reads raw text, splits it into tokens, assigns Token IDs, and can decode them back. A simple way to explore how transformers process language.
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Reverse a number in Python n = 1234 Expected reverse numbers = 4321 Python code n = 1234 rev = 0 while n > 0: digit = n % 10 rev = rev * 10 + digit n = n // 10 print(rev)
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Understanding what happens inside Python’s memory system can significantly improve performance, scalability, and debugging efficiency. I’ve published a deep dive on Medium exploring reference counting, garbage collection, PyMalloc, and memory optimization techniques that every serious Python developer should know. If you're building production-grade applications, this knowledge can make a real difference. #Python #PythonInternals #MemoryManagement #SoftwareEngineering #BackendDevelopment #Programming #TechInsights
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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
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Python : Function: Function in python is a reusable block of code that performs a specific task process it and return output. types: 1)**args: it is sued to access the variable numbers of psoitional argumnets
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Well explained, Akshaya devi.