Day 46 of #100DaysOfDevOps >Dockerized a Python application today and deployed it on an app server. >Created a Dockerfile for the Python app, installed dependencies using requirements.txt, exposed the required port, and ran the application using server.py. >Built a custom image and deployed it as a container with proper port mapping. Finally tested the app using curl and confirmed it was running as expected. Commands used: >docker build -t nautilus/python-app . >docker run -d --name pythonapp_nautilus -p 8095:5001 nautilus/python-app >curl http://localhost:8095/ This task helped me understand the full flow of taking a simple app and running it inside a container. Learning step by step. #100DaysOfDevOps #DevOpsJourney #Docker #Python #Linux #HandsOnLearning #KodeKloud
Dockerizing Python App on App Server
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Flux v1.0.0 — Quick Demo ⚡ See how an explainable, adaptive CLI file transfer system behaves in real time. Open Cmd Check your python --version 🛠️ Quick Install pip install flux-download 🔍 Check version python -m flux.cli --version 🖥️ Launch Flux (Dashboard) python -m flux.app ➕ Add a real download (inside Flux) Press:a Paste: Paste some link which you wanted to download Press Enter ⏯️ Pause / Resume: p ❌ Quit q ⚙️ Optional: Headless CLI download python -m flux.cli downloadhttps://lnkd.in/dagknx4e 🧹 Uninstall pip uninstall flux-download This demo shows Flux adapting, explaining decisions, and reacting to network conditions — all inside the terminal. CLI first. Open source always. #cli #opensource #python #terminal #systems #networking #buildinpublic #opensourcecommunity #commandline #devtools #softwareengineering #systemsengineering #terminaltools #linux #windows
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Just released nas-sync-script-builder — a Python GUI that generates a Bash script for safe, one-way NAS sync on Linux using rsync and lsyncd. Perfect for incremental, append-only updates without touching existing NAS files. GitHub: https://lnkd.in/dC_ZmYqU
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How Python Actually Runs? Ever wondered what happens the moment you hit "Run"? Python doesn't just read your code like a book; it goes through a fascinating two-step process to turn your logic into action. Here is the simple breakdown: • The Compilation Phase Before your code executes, Python "compiles" it. No, it doesn't turn it into a Windows .exe file. It transforms your source code into Bytecode. - Think of it as: Translating a complex recipe into a simplified checklist that only a chef understands. - The Result: Those .pyc files you often see in __pycache__ folders. • The Interpretation Phase This is where the Python Virtual Machine (PVM) takes over. It reads the Bytecode line-by-line and executes it on your computer. - Think of it as: The chef following that checklist to actually cook the meal. - The Benefit: This is why Python is "cross-platform" the same Bytecode can run on Windows, Mac, or Linux as long as the PVM is there. 💡 Why should you care? Understanding this model helps you realize why Python is so flexible. It’s an Interpreted language, meaning it’s optimized for developer speed and ease of use, even if it trades off a little bit of raw execution power. #Python #DataEngineering #DataScience
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In this Selenium Python Tutorial, we will learn how to set python path in windows. To set the installation path simply right click on the "This PC" icon and select Properties. There you'll see the Advanced System settings and then you need to navigate to windows system properties in the advanced section. To check the python path in windows follow this tutorial for detailed steps and description of python path. https://lnkd.in/gnztwhb4 #SeleniumPythonTutorial #PythonSelenium #SeleniumPython #PythonSeleniumTutorial #SeleniumWebdriver #TestAutomation #SoftwareTesting #RcvAcademy #SoftwareTestingMentor
Selenium Python Tutorial #3 - How to Set Python Path in Windows
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In this Selenium Python Tutorial, we will learn how to set python path in windows. To set the installation path simply right click on the "This PC" icon and select Properties. There you'll see the Advanced System settings and then you need to navigate to windows system properties in the advanced section. To check the python path in windows follow this tutorial for detailed steps and description of python path. https://lnkd.in/gNUFQz7F #SeleniumPythonTutorial #PythonSelenium #SeleniumPython #PythonSeleniumTutorial #SeleniumWebdriver #TestAutomation #SoftwareTesting #RcvAcademy #SoftwareTestingMentor
Selenium Python Tutorial #3 - How to Set Python Path in Windows
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In this Selenium Python Tutorial, we will learn how to set python path in windows. To set the installation path simply right click on the "This PC" icon and select Properties. There you'll see the Advanced System settings and then you need to navigate to windows system properties in the advanced section. To check the python path in windows follow this tutorial for detailed steps and description of python path. https://lnkd.in/gJPg2RRs #SeleniumPythonTutorial #PythonSelenium #SeleniumPython #PythonSeleniumTutorial #SeleniumWebdriver #TestAutomation #SoftwareTesting #RcvAcademy #SoftwareTestingMentor
Selenium Python Tutorial #3 - How to Set Python Path in Windows
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Day 42 | Python OOPs – Magic Methods & Object Introspection 🐍✨ Today I explored some powerful dunder (magic) methods in Python using a simple Car class 🚗 🔹 __init__() – Initializes object state (windows, doors, engine type) 🔹 Public variables – All instance variables are accessible by default 🔹 __str__() – Controls what gets printed when an object is displayed 🔹 __sizeof__() – Gives memory-related info about an object 🔹 dir() – Helps inspect all attributes & methods of an object 🔹 Instance methods – Behavior like drive() defined inside the class 📌 Key Learning: Magic methods let us customize object behavior and understand how Python internally handles objects.
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How to Freeze Your Code in Python (Feb 2026 Guide) with $SlimRich and $DiligentTECH Written by $DiligentTECH💀⚔️ Freezing Python code means turning a script into a runnable app so someone can click and go. $SlimRich calls it “love at first launch,” while $DiligentTECH calls it “packaging plus patience,” and both are right. You bundle Python into an executable (EXE on Windows), an app bundle on macOS, or a Linux binary, so users don’t need Python installed. As of February 2026, these freezing tools are still common and stable, even when online version details can be inconsistent, and the goal stays the same: ship a standalone app that runs. This post is about making that promise come true. Read more by clicking the link:- https://lnkd.in/dgcHCQ3j
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Mostly new age developers thinks C and C++ is now dead . Is it reallly dead ? Most of the native codes are written in C++ in android. In python widely used libraries such as Pandas, Numpy are written in C++ It's not dead, it's the real underrated hero. #programming #cpp
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With Vibe Coding, one of it's strengths is filling in your gaps of knowledge. No developer knows everything. Linux Torvalds used it to write a Python script because he doesn't care about Python. I'm sure there is something you'll eventually do that you don't know the syntax or care. Great use case for vibe coding. One pattern emerging is this: if you're an expert at something, vibe coding is rarely going to outpace you. And I'm not sure it ever will.
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