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Python Quiz: What is the Output? x = 10 if x == 10: print("Hello")

Learn Python. ⠀ Learn JavaScript. ⠀ Learn React. ⠀ Learn Docker. ⠀ Learn AWS. ⠀ Learn Kubernetes. ⠀ Finally, you start feeling confident. ⠀ Then someone says, “I built the whole app with a prompt.” ⠀ Welcome to being a developer. ⠀ After 16+ years in engineering, I understand why this feels exhausting. Every time you get comfortable, the industry gives you more homework. ⠀ But I’d redraw the last part of this curve. ⠀ Your engineering knowledge still matters when you have to explain why: ⠀ • The app works locally but fails in production. ⠀ • One database query takes down the API. ⠀ • A retry charges the customer twice. ⠀ • An AI-generated endpoint lets users access someone else’s data. ⠀ Knowing how to investigate those problems takes experience. Every layer you learned gives you somewhere to start. ⠀ That knowledge helps while you’re prompting, too. ⠀ You can spot a missing requirement, question a design choice, and catch a dangerous assumption before it spreads across twenty files. ⠀ I want AI to handle more of the repetitive work. I also want to understand what I’m putting into production. ⠀ If you’re feeling behind, try this: ⠀ Take one small feature you already know how to build. Ask an AI coding tool to implement it. Then review the result like a teammate’s pull request. ⠀ 1. Read the diff. ⠀ 2. Check the dependencies. ⠀ 3. Test the failure cases. ⠀ 4. Find something you would change and explain why. ⠀ You’ll learn the tool while exercising the judgment you’ve spent years developing. ⠀ And if you’re just starting, follow the generated code all the way through: from the button, to the API, to the database, and back. ⠀ You don’t have to restart your career every time the tools change. ⠀ You do have to keep learning. That part of the picture has always been accurate. ⠀ Which skill on this chart took you the longest to learn?

Learn Coding by playing games 1. Kubernetes 2. DevOps 3. Linux 4. Git 5. Python 6. CSS & HTML 7. Cybersecurity 8. Mobile Coding (like Duolingo) 9. For Complete Beginners 10. 25+ Programming Languages

You may have heard about the Model Context Protocol and wondered how it lets AI tools connect to other tools, APIs, and systems. Well, it's all thanks to MCP servers. In this guide, @manishmshiva explains how MCP servers work and helps you build your own with Python and the FastMCP library.

✅ How to Learn Python Programming in 10 days ! .#pythonprogramming #python3 #pythoncode #pythonlearning #pythondeveloper #pythonprojects

Top 4 Python patterns ✍️

Which Programming Language Is the Easiest to Learn? If you're a beginner, choosing your first programming language can feel confusing. Here’s a quick comparison of 11 popular programming languages using the classic “Hello, World!” program: My recommendation: Start with Python if you're new to programming. Its readable syntax lets you focus on problem-solving before dealing with too many language-specific details. Remember, the easiest language depends on your goals and background! Which programming language did you learn first? Save this guide and share it with a beginner! Follow @CLCODING for more coding tips and programming tutorials.

Which language is the best for creating games ? 1. Python 2. C++ 3. Java 4. C# 5. Rust

SQL to Python translation looks straightforward until one swapped line silently corrupts your production data. Look closely at the bottom rows—for merging tables, do you use `pd.concat` or `pd.merge`?

The field of Cryptography is all about securing both data and communication between systems. And in this course, you'll learn the basics like hashing, symmetric and asymmetric encryption, and more. By the end, you'll have built a fully-functioning Python-based command line cryptography tool.

Best YouTube Playlists to learn Programming: C C++ Python Java C# SQL Go PHP Swift Kotlin Dart Ruby Rust TypeScript R React Next.js Node.js HTML/CSS Machine Learning Deep Learning DSA Follow @Arina_sharmi for more

Vibe Coder vs Real Coder 🫣🫣🫣

🚨🚨🚨 ALERTE SÉCURITÉ MAXIMALE ! Python est compromis. 🔸 Mettez immédiatement pip à la version 26.2.2 ou plus. 🔸 Dans chaque projet Python (chaque venv) : python -m pip install --upgrade pip 🔸 uv : uv self update (0.13.4 ou plus) 🔸 Mettez aussi à jour les certificats du système (apt / dnf upgrade ca-certificates) et vos images Docker pip install est compromis. L'autorité indienne eMudhra (emSign), qui signe les « passeports » prouvant qu'un site est bien celui qu'il prétend être, utilisait des clés secrètes ridiculement faibles : 8 clés, toutes inférieures à 256. L'une valait 4. Autrement dit, n'importe qui peut fabriquer un faux passeport valide pour n'importe quel site. Le risque pour Python : quelqu'un sur ton réseau (wifi public, FAI, État) se fait passer pour et ton « pip install » télécharge un paquet piégé sans aucune alerte. Aucune attaque n'a été signalée pour l'instant, mais c'est trivial à faire. Un paquet piégé peut installer n'importe quoi. Porte dérobée, virus, vol d'informations en tout genre. La situation est terrifiante ! Rien que dans l'écosystème Python, chaque installation de CPython, chaque venv, uv, tout est exposé. Et je ne vous parle même pas de npm, pnpm, yarn, Go, Rust. Ma stratégie de sécurité 2026 : rester chez moi et ne me connecter à Internet que depuis un FAI de confiance. C'est quand il y a de la mer qu'on reconnaît les vrais marins...

🚨 CRITICAL SECURITY ALERT PHP, GitLab & Node.js were already facing serious security vulnerabilities. Now, Linux, Python & Java are also in the spotlight. The potential impact across the tech stack is huge.

Python Quiz: What is the Output? A) 5 B) 7 C) 8 D) 4

You've never seen 🐍Python like this, trust me :) I've built an interactive 3D explorer of Python's parser & compiler pipeline. If you ever wanted to look under the hood and understand how Python actually works this is your chance. Thread🧵

Python Quiz: Comment your answers below!

Algorithms — Free PDF (472 Pages!) Want to strengthen your problem-solving skills and become a better programmer? This 472-page Algorithms book is a great resource for anyone interested in understanding how algorithms work and how to solve computational problems efficiently. What you can learn: ✅ Algorithm design and problem-solving ✅ Time and space complexity ✅ Efficient approaches to computational problems ✅ A stronger foundation for Data Structures & Algorithms (DSA) ✅ Skills useful for coding interviews and competitive programming Perfect for Python developers, computer science students, software engineers, and aspiring programmers! Get the free PDF here:

What will be the output of the following Python code? print(4 > 3 == 3 < 5)

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