Python is constantly evolving, and the way it handles performance is a great example of that progress. In Python 3.11, the built-in list.sort() method is powered by Powersort, a modern sorting algorithm designed to take advantage of existing order in data. This means many real-world datasets now sort faster and more efficiently without you changing a single line of code. Understanding improvements like this is more than a fun fact; it’s a sign of how deep Python knowledge separates surface-level coding from professional engineering. When you know why the language behaves the way it does, you write clearer, more efficient solutions and make better design decisions, skills that matter in real projects and technical interviews alike. Learning Python today isn’t just about syntax. It’s about understanding the tools the language gives you, how they work under the hood, and when to use them effectively. That’s how good coders become confident engineers. #python #software #softwareengineering #udemy #learnprogramming
Python 3.11's Powersort boosts list.sort() efficiency
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Is Python really the best first programming language in 2026? This question keeps coming up especially for beginners trying to enter tech. On one hand: • Python is beginner-friendly • The syntax is clean and readable • It’s dominant in AI, data science, automation • The learning curve feels less intimidating On the other hand: • Some argue it hides deeper programming fundamentals • Others believe JavaScript is more practical to start with • Some still recommend C for stronger logic foundations As someone currently learning and building with Python, I’ll say this: Python makes starting less scary, and that matters. But is “easy to start” the same as “best foundation”? If you were starting from scratch in 2026, what language would you pick first and why? #Python #TechDebate #LearningInPublic #Programming
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🌱 Day 1 – Introduction to Python Hello Connections !!!!! Python is a high-level, beginner-friendly programming language known for its simple syntax and readability. It helps learners focus more on problem-solving and logic. 🔹 Where is Python used? Python is widely used in: Web development Data analysis Automation Artificial Intelligence & Machine Learning 🔹 Why learn Python? ✔ Easy to understand and learn ✔ Versatile and powerful ✔ Strong community support ✔ Widely used in the industry 📌 Looking forward to learning and growing in Python step by step 🚀 #Day1 #IntroductionToPython #PythonBasics #CodegnanStudent #PythonLearner #LearningInPublic #WomenInTech Pooja Chinthakayala Saketh Kallepu
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Today I studied Python List Methods — essential tools for handling and modifying data efficiently. Understanding methods like append(), insert(), pop(), reverse(), and clear() helps in writing cleaner and more structured code. I’m focusing on strengthening my basics before moving into advanced topics like backend development and AI. Learning from AI, implementing in VS Code, and documenting everything to build long-term clarity. Consistency > shortcuts. If you’re also learning Python, let’s connect and grow together. #python #codingjourney #bscs #backenddevelopment #learninpublic #100daysofcode #programming #techstudents #futuredeveloper
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Announcing a New Series: Advanced Python 2026 — From Foundations to Real-World Development Python is evolving, and so should your skills. This new series is designed for developers ready to move beyond basics and build production-grade solutions. We’ll cover advanced concepts, real-world use cases, performance optimization, automation, AI integration, backend systems, and more. Designed for intermediate → advanced learners Focused on practical, industry-ready skills Built for modern software development in 2026 If you want to write cleaner, faster, and more scalable Python — this series is for you. Read the launch post: https://lnkd.in/eHqPBwbt Let’s level up together. #Python #Programming #SoftwareDevelopment #TechEducation #AI #MachineLearning #JMSM #KNKA #BackendDevelopment #Coding #Developers #LearnToCode #Python2026
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🔹 Python is easy. Learning Python is not. 🧠 The syntax felt simple at first. ⚙️ The real challenge appeared when I tried to: break problems into steps think logically instead of memorizing apply concepts beyond tutorials That’s when Python started feeling easy on the surface, confusing in practice. ✍️ I wrote my first Medium post to document this beginner phase— not a tutorial, but an honest reflection on learning how to think like a programmer. 🔗 Read here: 👉 https://lnkd.in/gW7btNHk 📌 If you’re learning Python or moving from basics to real problem-solving, this experience may resonate with you. 💬 Open to feedback and shared learning. 🚀 Building in public. #Python #Programming #SoftwareDevelopment #LearningJourney #Beginners #MediumBlog #DataScience
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🚀 Master Python: Basic → Intermediate in Just 15 Days 🐍 Everyone learns differently. But one skill matters for everyone in tech 👇 Problem-solving. I came across a 15-Day Python Learning Roadmap that focuses not just on syntax, but on thinking like a programmer 💡 🔹 What this roadmap covers: ✅ Python fundamentals & data types ✅ Conditionals, loops & functions ✅ Strings, lists, tuples, dictionaries & sets ✅ File handling & OOP concepts ✅ NumPy, Pandas & Data Visualization ✅ Data cleaning & Machine Learning basics 📌 Each day includes: • Clear concepts • Practical questions • Hands-on problem solving If you’re a student, beginner, or working professional looking to strengthen Python from scratch — this structured approach can really help. Consistency + practice = confidence 💪 👇 Comment “PYTHON” if you want to start 🔁 Repost to help someone in your network ✨ Follow for more learning roadmaps #Python #LearnPython #Programming #DataAnalytics #MachineLearning #CareerGrowth #Students #ProblemSolving #CodingJourney
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📘 Learning Data Structures in Python: More Than Just Theory Understanding data structures is a turning point for anyone serious about programming—and Python makes that journey both powerful and approachable. This document breaks down core data structures in Python in a clear, structured way, connecting concepts with real-world usage. From lists and dictionaries to stacks, queues, and beyond, it highlights not just what these structures are, but why and when to use them. What stood out to me: • How the right data structure can dramatically improve performance • The balance between readability and efficiency in Python • Why mastering fundamentals still matters in a world of frameworks and shortcuts Whether you’re preparing for technical interviews, strengthening problem-solving skills, or building scalable applications, this is a reminder that strong foundations make better engineers. Always learning. Always refining. 🚀 #Python #DataStructures #SoftwareEngineering #ComputerScience #LearningJourney #Developers #LearningInPublic #DeveloperLife #CodeNewbie #SelfTaughtDeveloper #TechLearning #CodingJourney #PythonDev #PythonLearning #ProblemSolving #CleanCode #WriteBetterCode #CareerInTech #Upskilling #TechCareers #ContinuousLearning #BuildInPublic #FoundationsMatter #LearnByDoing #KeepLearning #GrowthMindset
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🚀 Learning Python I’ve started (and committed to) my journey of learning Python, and it’s been an exciting experience so far. From understanding basic concepts like: Variables & Data Types Lists, Tuples, Sets & Dictionaries to building small logic-based programs — every day feels like real progress. Python is not just a language, it’s a powerful tool for: 💡 Web Development 🤖 AI & Machine Learning 📊 Data Analysis ⚙ Automation The goal is simple: stay consistent, keep practicing, and build real projects. Slow progress is still progress. 💪 #Python #LearningJourney #Programming #SoftwareDevelopment #Tech
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