Running Python in Docker Container: Docker Image vs Container

Every layer of the Python packaging ecosystem is important. That's why we're involved in: → Defining standards that shape how packaging evolves → Building and maintaining tools like Meson and conda → Contributing to ecosystem infrastructure like PyPI and conda-forge Better tools at each layer mean better experiences for everyone building Python projects. Where does your team need support in the packaging stack? https://lnkd.in/drrUQ-K2 

Python Project Code Templates 😎 In this GitHub repository you can find a whole bunch of Python project templates. Want to build a discord bot? You can find a simple template to get you started. Interested in building something else with Python? No problem, there’s code for all kinds of projects! Follow for more free coding resources ✅ #code #coding #tech #learntocode #data

📌 New Video: Python Requests Tutorial for Beginners Just shared a new YouTube video explaining the Python requests library from scratch — including APIs, GET & POST requests, and basic error handling. Designed especially for beginners. ✅️ Check out the video Now: https://lnkd.in/gDakSbcx #pythonforbeginners #pythonprogramming #pythontutorial #programminghorizons #requeststutorial

🚀 Day 25/100 | #100DaysOfCode | Python Journey Continues 🐍 Today I explored PyCharm IDE and understood how it makes Python development easier and faster 💻✨ Here’s what I learned today 👇 🔹 What is PyCharm? It’s an IDE (Integrated Development Environment) specially made for Python that helps in writing, running, and managing code in one place. 🔹 How to use PyCharm • Create a new project • Write Python files easily • Run code with one click ▶️ • See errors clearly and fix them faster 🔹 Why PyCharm is useful ✔ Auto code suggestions ✔ Error highlighting ✔ Easy debugging ✔ Proper project structure Honestly, coding feels more professional and organized when using tools like PyCharm 😄 Slowly moving from basic editors to real developer tools — and enjoying the process! 🚀 Consistency over perfection. Learning step by step, day by day 💯 #Day25 #100DaysOfCode #PythonLearning #PyCharmIDE #DeveloperJourney #LearningInPublic #CodingLife #FutureDataAnalyst

I just published a comprehensive beginner-friendly guide covering: ✅ Boolean expressions & comparison operators ✅ if-elif-else statements & match-case ✅ 3 hands-on projects (including a shipping calculator & Magic 8-Ball) ✅ Common debugging pitfalls Whether you're automating pipelines or just starting your Python journey, this tutorial breaks down how programs make decisions. #Python #DevOps #Automation #ContinuousLearning #SoftwareEngineering #TechEducation

Day 61 of Learning Python 🚀 Today’s focus was on pip freeze and its importance 🧠⚙️ 🔹 Capturing all installed Python packages 🔹 Generating requirements.txt using pip freeze 🔹 Ensuring environment consistency 🔹 Making projects easy to share and reproduce 📌 pip freeze helps avoid “it works on my system” problems by locking dependencies.

Python Restart Journey — Day 21 Today, I focused on how Python projects are structured and managed in real-world development. I worked on: Creating and using modules and packages to organize code Managing dependencies using pip Isolating projects with virtual environments Understanding the role of requirements.txt for reproducibility These concepts are foundational for building scalable, maintainable Python applications and are critical in professional and DevOps workflows. Continuing this journey with a focus on clean structure, best practices, and long-term maintainability. How do you usually manage dependencies in your Python projects? #Python #PythonLearning #SoftwareDevelopment #VirtualEnvironment #pip #Programming #LearningJourney #Upskilling #100DaysOfCode #TechLearning #DevOpsJourney

One nice improvement in the latest DBOS Python release–you can now call async steps concurrently with native syntax from a workflow, and it all just works. To make that possible, we added code to set a unique ID for each step before it begins async execution, so even though the step executions overlap they’re checkpointed deterministically.

Python Core – Structured Notes: Structured Python core notes covering fundamentals along with practical automation-oriented concepts. The material includes: • Data types & control structures • Functions, modules & packages • LEGB scope rule • CLI arguments & environment variables • pip & external packages • DevOps-oriented use cases • Best practices & interview-focused concepts Sharing this structured reference for anyone who finds it helpful. Hashtags: #Python #Automation #Scripting #DevOps #ContinuousLearning

💡 Did you know Python can instantly turn any folder into a web server? With just: python -m http.server You can quickly: • Test files locally • Share folders on your network • Speed up development workflows Simple. Powerful. Built-in. Follow DevOpsDecoded for practical DevOps & developer insights 🚀 #Python #DevOps #SoftwareEngineering #DeveloperTips #TechSkills #LearningEveryday #Automation #Programming #CloudComputing