Built a real-time message pipeline where a C++ program receives lots of UDP packets and a Python program reads them for processing, using shared memory to pass data quickly between the two.

Python's GIL Architecture Explained: Per-Process Behavior and Beyond 📌 Python’s GIL is finally breaking free-starting with Python 3.14, true multi-threaded performance is now possible with free-threaded execution. No more bottlenecks in CPU-heavy tasks: threads can run in parallel across cores, unlocking near-linear speedups. This marks a major shift, enabling high-performance, single-process concurrency without relying on multiprocessing. 🔗 Read more: https://lnkd.in/dujvw4Gz #Pythongil #Multiprocessing #Cpython #Threadsafety #Bytecode

"We'll prototype in Python and then rewrite it in C++." Famous last words. This classic promise often creates a synchronization hell. The research team iterates on the Python prototype for months, adding features and changing logic. By the time the quant dev team starts the "rewrite," it's a moving target. The strategy isn't inherently wrong, but without strict API contracts, shared test suites, and paired programming, you build two different models. The key is to design the Python prototype as if it were the C++ kernel from day one. Has a "rewrite later" strategy ever backfired on you? What was the lesson? #QuantFinance #QuantDev #SoftwareEngineering #Prototyping #KernelDevelopment #FinancialEngineering

🚀 Day-32 of #100DaysOfCode 🐍 Python Pattern Programming Challenge Today I worked on generating an Alphabet Triangle Pattern using ASCII values and nested loops. 🔹 Problem: Print a right-angled triangle where each row starts from A and prints characters sequentially. 🔹 Concepts Practiced: ✔ Nested for loops ✔ ASCII value manipulation using chr() ✔ Pattern visualization ✔ Loop resetting logic 🔹 Approach: Use ASCII value 65 to represent 'A' Convert ASCII to characters using chr() Reset the ASCII value at the start of each row Increase characters row-wise Pattern-based challenges help strengthen loop control, logical thinking, and character handling in Python 💡 #Python #PatternProgramming #CorePython #AlphabetPattern #100DaysOfCode #Day32 #LearnPython #CodingPractice #PythonDeveloper

Abstraction — not raw speed — is what truly changed computing. From flip-flops to Python, each layer helped humans think bigger and build faster. Read the full story here 👇 🔗 https://lnkd.in/gjKeJKRW #Computing #Abstraction #Programming #SoftwareEngineering #TechThinking #Python

🚀 Day 29/30 – Mini Python App Challenge Built a Turn-Based Battle Game ⚔️ using Python. Features: • Player vs Computer • Attack & Defend mechanics • Health tracking system • Random damage simulation Concepts used: Game loops, state management, random logic GitHub 👇 🔗 https://lnkd.in/dCSFW_Hd Almost at Day 30 🔥 #Python #LearningInPublic #30DaysOfCode #GameDev #github #

🐍 Day 43 — Why Libraries Matter in Python Day 43 of #python365ai 📚 Python’s real power comes from its libraries — collections of reusable code that solve complex problems efficiently. Examples: Data analysis Visualisation Machine learning Automation 📌 Why this matters: Libraries save time and allow you to build professional solutions without reinventing the wheel. 📘 Practice task: Search for one Python library related to your interest and note what it’s used for. #python365ai #PythonLibraries #Programming #LearnPython

Python threads aren't what you think they are. 🤯 I was optimizing a CPU-bound task, expecting threads to speed things up. Instead, performance tanked. What was the deal? Python's Global Interpreter Lock (GIL) allows only one thread to execute Python bytecode at a time. For CPU-bound tasks, threading won't help. Use multiprocessing instead! 🧵🚫. Threads are great for I/O-bound tasks, though. 📡💡 💡 Key Takeaway: Use threading for I/O-bound tasks and multiprocessing for CPU-bound tasks to bypass the GIL. 🐍 Have you been bitten by the GIL? Share your story! 👇 #Django #Python #PythonProgramming #FastAPI #Coding #Programming

🚀 Day-31 of #100DaysOfCode 🐍 Python Pattern Programming Challenge Today I worked on generating Floyd’s Triangle using nested loops and a continuously increasing number sequence. 🔹 What is Floyd’s Triangle? It is a right-angled triangular pattern of natural numbers, where numbers are printed sequentially across rows. 🔹 Concepts Practiced: ✔ Nested for loops ✔ Loop-controlled number incrementation ✔ Pattern-based logic ✔ Output formatting using end 🔹 Approach: Use an outer loop for rows Use an inner loop to print numbers in each row Maintain a separate variable to keep numbers continuous Pattern problems like this help strengthen loop control, logic building, and visualization skills 💡 #Python #FloydsTriangle #PatternProgramming #CorePython #100DaysOfCode #Day31 #LearnPython #CodingPractice #PythonDeveloper

🚀 “Remove Element” using In-Place Array Technique | Python 🎯 Problem: Remove all occurrences of a given value from an array and return the count of remaining elements. #Python #DataStructures #Algorithms #CodingPractice #DSA #DataScience #Coding #Programming #LogicBuilding #DataAnalysis