🚀 Containerizing a Python Application using Buildah & Podman Today I worked on building a Python Flask web application container using Buildah . 📦 Tech Stack: Python | Flask | Buildah | Podman | Alpine Linux Special thanks to Ashutosh S. Bhakare sir for the guidance . This hands-on exercise helped me understand how container images are built manually and how Buildah can be used as an alternative to Docker. #DevOps #Containers #Buildah #Podman #Python #Flask #Linux #CloudComputing #KubernetesLearning
Building Python Flask App with Buildah & Podman
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Degrees Won’t Get You Hired in 2026 — These Skills Will 🔥 | Ekascloud #AI #machinelearning #datascience #redhat #Linux #python #BigData #Jenkins #questionbank
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Degrees Won’t Get You Hired in 2026 — These Skills Will 🔥 | Ekascloud #AI #machinelearning #datascience #redhat #Linux #python #BigData #Jenkins #questionbank
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I just built a simplified Github MCP server. It wraps the entire GitHub CLI into just 2 tools instead of the 26+ that the official and alternatives ship. Less clutter, same coverage. Check it out: GitHub: bit.ly/gh-cli-mcp-server PyPI: bit.ly/gh-pypi #MCP #GitHub #OpenSource #Python #DevTools
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Did you know? Claude Code on Windows brings these CLI tools: - Python 3.13 (they missed π) - uvx Take this into consideration when prompting! The possibilities with `uvx` are endless!!! I started publishing on PyPi for exactly this reason: To leverage "everywhere" the power of `uvx`. You don't know what this is? It is a convenient way to run python packages. So you in 2026 you want to: - implement your own CLI (if no one exists yet) - publish it via GitHub actions to PyPi - have your coding agent use it MCP is dead. #CLI is king!
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Ever wondered how Nginx, Redis, and Python's asyncio handle thousands of requests per second? What does await actually do under the hood? The answer is epoll — a Linux syscall. And I built it from scratch to understand it. Raw Python. No frameworks. 52,000 requests/second. Just published my first ever technical article breaking down exactly how it works — the concepts, the code, the real benchmark numbers, and every bug I hit along the way. If you've ever used asyncio and wondered what's actually happening underneath — this one's for you. Link in the comments 👇 #Python #Linux #Backend #SystemsProgramming #SoftwareEngineering
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A simple and fast way to run Python code live inside the Helix Editor using Windows Terminal. Write your code on the left, and instantly see the output update on the right perfect for Python learners. 💡 Key Features: • Works entirely with built-in Windows + Python tools • Auto-runs your script on every save • Fully refreshed output window each time • Split view code (left) & output (right) • No external tools or dependencies • Easy one-click setup 🎯 Why I built this: I wanted a fast, reliable, and fully offline setup for learning Python. Most live runners depend on internet speed, feel slow, or even come with limitations/costs. I wanted something simple where you can just focus on coding and instantly see results without any distractions. Now it’s just: code → save → see output instantly 🔗 https://lnkd.in/g_fxvXYc If you’re learning Python or prefer minimal, fast workflows this might help you 🙌 #Python #Helix #OpenSource #DeveloperTools #BuildInPublic #Coding #WindowsTerminal #LearnToCode #HelixPythonLiveRunner
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Tired of switching windows or using online compilers to test your Python code? 🐍 I love the blazing-fast Helix editor but couldn't find a good live-runner. So, I built a fully local solution: HelixPythonLiveRunner. How it makes coding faster: ⚡ Instant Feedback: Auto-runs your script the second you hit save (Ctrl+S). 💻 Side-by-Side View: Code in Helix on the left, live output on the right. 🛠️ Zero Bloat: Uses 100% standard Python and Windows Terminal no heavy plugins. 🚀 Fully Local: Ditch the online tools and code efficiently on your own machine. Why I built this: I wanted a fast, distraction-free way to learn and practice Python all inside Helix editor. Perfect for Python learners and rapid prototyping. Just clone the repo, run the setup, and start coding. 🔗 Check it out here: https://lnkd.in/g_fxvXYc #Python #HelixEditor #WindowsTerminal #DeveloperTools #OpenSource
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REMINDER - The Python programming workshop is THIS SUNDAY Workshop link: https://lnkd.in/eEpsw7de At Hobart Hackerspace. Session 1 will cover how to set up your computer for programming with Python. If you don't know where to start, I'll be able to guide you to having the tools for programming Python set up on your machine. Whether it is Windows or Mac, or even Linux! Or even if your computer is locked down, or you have a tablet, there are still ways to code in Python. Python is often used in data science, AI, web applications, automation, and all kinds of things as it has a vast range of packages available you can just install and work with right away.
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🔥 Hi Guys, Do you know what is the equivalent script of $@ or $* in python? And this most common devops interview question in scripting 👏 Do u want know? here it is 👇 *args is the equivalent $@ or $* $@ → all arguments as separate items example: In python, args looks like this 👇 def func(*args): for arg in args: print(arg) func("one", "two", "three") **kwargs(Key word arguments) is the function to take dict as input and also take unlimited arguments to the func. #ShellScripting #PythonScripting #Automation #Linux #Devops
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