TechieLearn’s Post

🚀 The Facade Pattern (Python) The Facade pattern provides a simplified interface to a complex subsystem. It encapsulates the complexity of the subsystem and presents a high-level interface to the client. This pattern is useful when you want to hide the internal workings of a complex system and provide a simple way for clients to interact with it. The facade acts as a single entry point to the subsystem, making it easier to use and understand. This promotes loose coupling and reduces the complexity of the client code. #Python #PythonDev #DataScience #WebDev #professional #career #development

⚠️ Medium Risk Vulnerability Alert! The Claude SDK for Python has a memory tool path validation race condition that allows sandbox escape. This issue is related to API security and can lead to unrestricted resource consumption. It's been patched in version 0.87.0. Stay safe and keep your systems updated! #ClaudeSDK #Python #APIsecurity #OWASP #CVE2026-34452 https://lnkd.in/g26q6ZAn

#Python includes a handy built-in function called `exec()` that can execute arbitrary code Never expose your APIs to this or the related `eval()` function since that could allow people to harm your computer!

🚀 Excited to announce the release of the new version of DRF API Logger! This update includes several enhancements: - Profiling support to analyze API performance in greater depth - Identification of performance bottlenecks through profiling - Monitoring of API behavior - Auditing of request/response cycles For more details, visit the link: https://lnkd.in/gbzPYmt #django #python #djangorestframework #opensource #backend #api #performance #logging #coderssecret

I’ve published my first technical article: a walkthrough of the SOLID principles—with Python examples. It started as “I’ve heard these letters everywhere—what do they actually mean in code?” Turning that into something concrete helped me more than skimming another diagram. In the post I break things down into bite-sized pieces, including: • Single Responsibility: One job per module—easier to reason about and change. • Open/Closed: Extend behavior without rewriting existing code. • Liskov Substitution: Subtypes that don’t break expectations. • Interface Segregation: Small, focused contracts instead of fat interfaces. • Dependency Inversion: Depend on abstractions, not concrete details. Beyond the theory, each section includes short Python snippets so the ideas map to something you can run and tweak—not just memorize. The full post is here: https://lnkd.in/gFXSE4d9 #SoftwareEngineering #SOLID #Python #CleanCode #OOP #DesignPatterns

Published pytures on crates.io — a small library that lets Rust Futures and Python Coroutines await each other. Came out of a real need: we have an algorithmic trading system in Rust and wanted to script it with async Python. Both sides are poll-based state machines under the hood, so adapting one to the other turned out to be a clean problem. The tricky part was getting the wakeup semantics right so nothing busy-polls unless necessary. The entire public API is two types. BSD-3-Clause. Github: https://lnkd.in/dFT5HBec crates.io: https://lnkd.in/dzzNAgRW #rust #python #async #opensource

📝 Task 2: To-Do List Application (Python CLI) Built a command-line based To-Do List application using Python with JSON file handling for persistent storage. This project focuses on improving productivity by allowing users to manage tasks efficiently. 💡 Features include adding tasks, updating priorities, marking tasks as complete/incomplete, filtering tasks, and viewing statistics. A great hands-on project to practice file handling, object-oriented programming, and working with Python built-in libraries. 🚀 Github repo: https://lnkd.in/grCvTF2Q #Python #Coding #Project #BeginnerProjects#Codenova Tech Solutions

We missed qplot. So we built the Python equivalent for Altair. marimo turned out to be a surprisingly good environment for this project, because it was so small and visual. Implementation, tests, and docs are in one place. A build step strips out marimo before publishing, so users get plain Python. Video out now: https://lnkd.in/g47eh__f #python #openSource #altair #marimo

🐍 Python 3.10 is approaching end-of-life — October 31, 2026 is closer than it looks. Python 3.10 is already in its security-only phase — no new features, no bug fixes. Just critical patches until the clock runs out. But the impact isn't waiting until October: → NumPy, SciPy, Pandas, and others have already dropped 3.10 support → You may already be unable to get security updates for key dependencies → After EOL, every new CVE in CPython becomes permanent exposure → Compliance frameworks are already flagging EOL runtimes as audit findings And if you're running Django 4.2, it goes EOL April 30, 2026. The hardest part isn't knowing you need to upgrade. It's realizing how much of your stack is affected and how long it will actually take. For most teams, this isn't a version bump. It's a migration. The clock is already ticking. ⏰ #Python #OpenSource #EOL #SoftwareSecurity #DevSecOps #Engineering #HeroDevs

I often wondered it was possible to auto-optimize agents. Say you didn't want to touch the prompt, Python scripts, tools, and agent configuration. You give an agent some task and a benchmark then let it iterate and improve on it autonomously. All you need to edit manually is program.md (instructions for the meta agent + directive) and the eval tasks. This is what AutoAgent does. It is the first open-source library for self-optimizing agents: https://lnkd.in/gJxUrMXm