Day - 7✅ Deep dive into advanced OOP concepts in Python — Access modifiers, static methods, instance vs class variables, and hands-on practice through small projects. Also revised HTML fundamentals since I had worked on frontend earlier — concepts came back quickly Consistency continues.🫡 🫡 #Python #Django #WebDevelopment #20DaysOfCoding
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The three ways to make websites in Python, fast & easy, link below to a video from "Tech with Tim" YouTube channel. #Python #Streamlit #Django #Website #websiteDevelopment https://lnkd.in/epx9txRJ
The 3 Ways to Make Websites in Python - Fast & Easy
https://www.youtube.com/
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Day 2 – Python Built-in Functions Today I explored the most useful Python functions for writing efficient code: map(), zip(), sorted(), type(), open(), and more. Good developers don’t write more code. They write smarter code. #Python #CodingDaily #Developers #LearnProgramming
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Python Output Challenge ! What will be the output of this code? 👇 x = "code n facts" y = x x = x.upper() print(y) A. CODE N FACTS B. code n facts C. Error D. None Think carefully before answering ! Drop your answer in the comments ⬇️ 💡 Let’s test your understanding of Python strings & variable referencing. #Python #PythonProgramming #CodingChallenge #LearnToCode #CodeNFacts #ProgrammingBasics #TechEducation #Developers #100DaysOfCode #CodingCommunity
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Python Tip: len() Still using loops to count elements in a list, string, or dictionary? Python’s built-in len() gives you the length in one clean call. - Works for lists, tuples, strings, dictionaries, sets - No manual counting - Faster and less error-prone - Makes your code readable and professional Smarter Python isn’t about doing more manually. It’s about letting Python do the work for you. FOLLOW FOR MORE PYTHON TIPS & INSIGHTS #Python #Functions #CleanCode #ProgrammingTips #SoftwareEngineering
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🐳 Python + Docker – Production trips If your Python app runs in Docker, remember 3 things: 1️⃣ Use multi-stage builds – keep build tools out of runtime. 2️⃣ Don’t run as root – least privilege always. 3️⃣ Keep the image minimal – fewer packages, fewer CVEs. Production isn’t just “it works on my machine.” It’s about reducing attack surface before someone else finds it. Multi-stage + Non-root + Minimal image = Production-ready container. #Python #Docker #DevSecOps #CloudSecurity #Kubernetes #SecurityByDesign
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Learning JavaScript as a Python developer is really hard 😅 You always forget to define the variable. You get confused with let, const, and var. And the biggest problem? In Python we call them dictionaries… In JavaScript they are objects… But my brain still calls them arrays 🤦♂️
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Django is not "boring." If your Django API is slow — I'll tell you exactly why in 30 minutes. Free. #Django #Python #BackendEngineering #APIPerformance #WebDevelopment
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Python Performance Best Practices Writing Python code that works is easy, writing Python code that scales is the real skill. This guide highlights proven Python performance best practices used in real-world systems: from choosing the right data structures and avoiding common bottlenecks, to leveraging generators, efficient loops, and smart memory management. Whether you’re preparing for interviews, building backend services, or optimizing production code, these practices help you write faster, cleaner, and more maintainable Python. #Python #PythonPerformance #CleanCode #BackendDevelopment
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Beyond Hypermodern: Python is easy now - Chris Arderne, https://lnkd.in/epPRikWA IA Summary: Python development, once a daunting maze of tools and configurations, is now remarkably easy thanks to modern innovations like `uv` and `ruff`. This guide offers a streamlined approach, enabling you to build maintainable projects with unparalleled speed and simplicity, from setup to monorepos. #python #dev #softwareengineering #hypermodern #bestpractices
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Ruby vs Python — What DHH Really Thinks https://lnkd.in/gwkw3u8X David Heinemeier Hansson (DHH) argues that developer happiness, clarity, and expressiveness matter just as much as performance and popularity when choosing a language or tool. Why this matters: Whether you’re choosing a programming language, a framework, or a tool for your team, don’t just pick what’s most used — pick what lets you and your team build with clarity and joy. Which language or tool makes you feel more creative, efficient, and happy to work with? #Ruby #Python #SoftwareEngineering #DevCommunity #Productivity #DeveloperExperience
Ruby vs Python: DHH on why Ruby is better | Lex Fridman Podcast Clips
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