PyStormTracker Live on PyPI

🚀 Day 34 of #100DaysOfCode | Scenario-Based Questions in Python OOP Today I practiced solving scenario-based problems using Python Object-Oriented Programming (OOP). These problems help in understanding how OOP concepts are applied in real-world situations. Key Concepts I Practiced: • Designing classes based on real-world scenarios • Implementing Encapsulation to protect class data • Using Inheritance to reuse code between classes • Applying Polymorphism for flexible and reusable methods Practising scenario-based questions improves logical thinking and problem-solving skills, and helps in building scalable and maintainable applications using OOP concepts. GitHub Repository: https://lnkd.in/gTmfXrWP #Python #OOPS #100DaysOfCode #CodingJourney #PythonProjects

YAML is a data serialization format that's designed to be easy to read and write. And if you've worked with config files, Docker Compose, Kubernetes, or CI/CD pipelines, you've likely used it. In this guide, Bala teaches you how to work with YAML in Python with code examples. https://lnkd.in/gkuXgZEX

Build or Configure and run your first AI Agent 🤖 on #GoogleCloud using Agent Development Kit (ADK)! This #SkillsBoost course guides you through setting up an ADK development environment, create agents with both Python code 🐍 and YAML configuration, and run them through multiple interfaces 👇 https://lnkd.in/ghpwikEg And best of all. The course is free 🚀 and you will get a shiny new badge 🙌 #GoogleCloud #ADK #AgentDevKit #AIAgents

Tired of writing Python boilerplate every time I wanted to wrap a CLI tool as an MCP server, so I built Teukhos. You describe the tool in YAML, run one command, and your MCP server is up and available to any AI client — Copilot, Claude, Cursor, you name it. `pip install teukhos` `teukhos serve my-tools.yaml` Especially useful when you want config-as-code for MCP, version-controlled, CI/CD-friendly, no Python required. 🔗 https://lnkd.in/dWq9sYP9 #MCP #AITools #OpenSource #DeveloperTools #AgenticAI

Native Python Performance: caddy-snake v0.4.0 The latest update to caddy-snake (v0.4.0) marks a significant evolution in how Python applications are served within the Caddy ecosystem. By embedding the Python interpreter directly into the Caddy process, this plugin eliminates the overhead of traditional reverse proxy setups. Key improvements in this release include: * CGo Removed: The project has successfully moved away from CGo. This allows for easier cross-compilation and the distribution of truly standalone, static binaries. * Significant Performance Gains: Benchmarks show the implementation is 2-3x faster than standard setups that proxy to external WSGI or ASGI servers like Gunicorn or Uvicorn. * Streamlined Architecture: Deploying Python apps no longer requires managing a separate application server process, reducing both latency and configuration complexity. Congratulations to Miguel Liezun on this milestone. For developers looking to simplify their Python stack while retaining Caddy's automatic HTTPS and modularity, this is an advancement worth exploring. Read the full technical breakdown and view the benchmarks on the Caddy community forum. #Caddy #Python #DevOps #WebPerformance #Golang #OpenSource

🚀 Just published pypm-cli on PyPI. A fast CLI that infers and installs Python dependencies directly from your source code. Instead of manually maintaining requirements.txt, pypm scans your project imports, generates pyproject.toml, and installs the correct packages automatically. ⚡ Key highlights: • Sub-200ms dependency inference • Parallel project scanning • Smart caching for unchanged files • Handles dynamic imports and common frameworks Install: pip install pypm-cli Automatic Installation of Dependencies: pypm install PyPI: https://lnkd.in/gM2myDJR PyWheels : https://lnkd.in/ggSGYe8m Would love feedback from the Python community. 🐍 #Python #OpenSource #PyPI

Day 1 of my Build in Public journey 🚀 Today’s focus: Python fundamentals, Git basics, and aptitude revision. Here’s what I worked on today 👇 💻 Python: • Covered basics: variables, data types, input/output, and operators • Learned conditional statements, loops, and control flow • Practiced logic building by solving beginner-level problems on HackerRank and GFG ⚙️ Git: • Learned about version control • Practiced commands: git init, git status, git add, git commit, git config, and git log 🧠 Aptitude: • Brushed up on number concepts • Quick revision of HCF & LCM Small steps, but consistency is the goal. Looking forward to building on this tomorrow. #BuildInPublic #100DaysOfCode #LearningInPublic #TechJourney

Sometimes you can't avoid blocking code. Heavy computation. A library that isn't async. A third-party SDK from 2015. That's where asyncio.to_thread() comes in. It takes your blocking function and runs it in a separate thread, so the main event loop stays free to keep serving other users. Your async routes stay fast. Your blocking work gets handled in the background. Everyone wins. One of the most underrated tools in Python's standard library.

Who knew version control could be this fun? 🤓 Just wrapped up Week 3 of my progress review (DS at Digital Skola). This week highlights include: ✅ Mastering the Git workflow (Init -> Add -> Commit -> Push!) ✅ Exploring Python data types & libraries ✅ Testing databases with SQLTools Feeling more confident with the dev tools every day. Onwards and upwards! 📈 #DigitalSkola #LearningProgressReview #DataScience #LearningJourney #CareerGrowth

𝗔 𝗣𝘆𝘁𝗵𝗼𝗻 𝗦𝗢𝗠𝗘/𝗜𝗣 𝘀𝘁𝗮𝗰𝗸 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝘁𝗼𝗱𝗮𝘆 Looking for a Python SOME/IP stack aligned with the open SOME/IP specification? You can install one today: 𝘱𝘪𝘱 𝘪𝘯𝘴𝘵𝘢𝘭𝘭 𝘰𝘱𝘦𝘯𝘴𝘰𝘮𝘦𝘪𝘱 It’s still early-stage, but the basics are already working. Under the hood it leverages the OpenSOMEIP C++ stack, while exposing a Python interface useful for tests, service simulation, and quick experiments. Code is here: https://lnkd.in/eayrmrC9 Feedback and contributions are welcome. #automotive #sdv #someip #embeddedsoftware #opensource