Python Tips in VS Code for Beginners and Experts

10 Python Tips I Wish Someone Told Me as a Beginner 1. Start with interactive coding challenges. They make learning fun and engaging. 2. Build projects, not just code snippets. Projects teach real-world application. 3. Read other people’s code. It exposes you to different styles and solutions. 4. Skip advanced data structures at first. Focus on basics to build a strong foundation. 5. Use Jupyter Notebooks for experimentation. They’re great for testing and visualizing. 6. Learn to read error messages. They’ll guide you to fix issues faster. 7. Don’t rush to memorize syntax. Understanding concepts is more important. 8. Join coding communities online. Feedback and support can accelerate your progress. 9. Write clean, readable code from day one. It’s a habit that pays off. 10. Practice regularly, even if it’s just 15 minutes a day. Consistency beats intensity. Which tip resonated with you the most? #Python #CodingForBeginners #ProgrammingTips #LearnToCode #TechCommunity

Most Python books teach you syntax. This one teaches you to think in Python. I just came across Python written by Maaike van Putten (illustrated by her sister Imke van Putten), and it's a refreshing departure from the typical "here's-a-wall-of-code" programming book. The premise is simple but powerful: visual learning works. Every concept, from variables and loops to OOP, file handling, and API integration, is paired with hand-drawn illustrations that make abstract ideas click instantly. It's not dumbed down. It's clarified. What impressed me most is the structure. The book doesn't just explain but builds. Each chapter layers on the last, with quizzes, real exercises (not toy examples), and a "common mistakes" section that feels like it was written by someone who's actually taught thousands of students. Because Maaike has over 500k learners across her courses and books. And there's something quietly important here: Imke, who co-created the illustrated content, brings a unique perspective as someone who also runs wheelchair skills workshops. That same philosophy, making complex things accessible and empowering, runs through every page. If you're learning Python, mentoring someone who is, or just tired of reference manuals disguised as tutorials, this one's worth your time. Sometimes the best way to understand code is to see it differently. So, what are you waiting for? Hurry up and grab you copy (links in the comments). #Python #Programming #LearningToCode #TechBooks #SoftwareDevelopment Packt Mansi S. 🛎️ I'm involved in creating much scientific content which is available on many media platforms 👇 👇👇 🟢 Join our scientific AI discord channel: https://lnkd.in/dy4uxBTB 💫 Don't forget to 🌟 my refurbished scientific repo : https://lnkd.in/dprs4YZS ✨ Substack: https://lnkd.in/dTjrF6AP (English) 📱 Telegram: https://lnkd.in/d_YxVMAR (English) https://lnkd.in/dVVqhNw5 (Hebrew) 🚇 Spotify: https://lnkd.in/dgumrSMR (English) https://lnkd.in/d-gMtCrE (Hebrew) 🎙️ Youtube: https://lnkd.in/dPGJr7WM (English) https://lnkd.in/dydSqeky (Hebrew)

🚀 Day of Learning Python Functions 🐍 Today, I practiced one of the most important concepts in Python — Functions. Functions help us write clean, reusable, and well-structured code, which is very important as programs grow bigger. Creating a function to calculate the average of numbers Understanding how return works in Python ✨ Example Highlight I created a function that calculates the average of three numbers: def avg_sum(a, b, c): sum = a + b + c avg = sum / 3 return avg This made it clear how data flows into a function (parameters) and comes back (return value). 📌 Types of Functions in Python I Learned Today: 1️⃣ Function with no parameters and no return value 👉 Used mainly for printing or displaying messages Example: printHello() 2️⃣ Function with parameters but no return value 👉 Takes input but only performs an action 3️⃣ Function with parameters and return value ✅ 👉 Most commonly used in real-world programs Example: avg_sum(a, b, c) 4️⃣ Built-in Functions 👉 Like print(), len(), sum() 5️⃣ User-defined Functions 👉 Functions created by us to solve specific problems 💡 Key Takeaway: Functions make code modular, readable, and reusable, which is a must-have skill for every programmer. Excited to learn more and apply this in real projects 🚀 #Python #PythonFunctions #LearningPython #CodingJourney #BCAStudent #Programming #DeveloperLife #PythonBasics

🐍 How to Spot Errors in Python (Beginner-Friendly Guide) When you start learning Python, errors can feel frustrating… but they’re actually your best teacher. Here’s a simple guide to help beginners find and fix mistakes faster 👇 🔴 1. Read the error message carefully Python tells you what went wrong and where. Don’t ignore it — the last line usually gives the real clue. 🟠 2. Check the line number (and the line above) Sometimes the mistake is just before the line Python points to. 🟡 3. Know the most common errors ✅ SyntaxError → You broke Python’s rules (missing :, brackets, etc.) ✅ NameError → Variable not defined ✅ TypeError → Wrong data types used together ✅ IndentationError → Spaces/tabs problem ✅ ZeroDivisionError → Dividing by zero 🟢 4. Use print() to debug Print variable values to see what’s happening inside your program. 🔵 5. Test small parts of your code Don’t write everything at once. Build step by step. 💡 Remember: Every programmer you admire makes errors daily. The skill is not avoiding errors — it’s learning how to fix them. If you’re learning Python, keep going. You’re closer than you think 🚀 #Python #Programming #CodingForBeginners #LearnToCode #DeveloperJourney #TechSkills

My Journey of Learning Python – From Confusion to Confidence! Starting Python was not easy for me. As someone transitioning from an Electronics background into the IT field, I often felt lost while learning programming. There were many times when I didn’t understand concepts, got stuck on simple problems, and even thought of giving up. But one decision changed everything — I decided to continue learning even when I didn’t fully understand. Python became my starting point because of its simplicity and real-world applications. Slowly, I began understanding: • How logic works • How problems are solved through code • How small programs build confidence Today, Python is not just a programming language for me — it is the foundation of my journey into the IT world. Through this blog, I want to share: ✔ What I learned ✔ Mistakes I made ✔ Challenges I faced ✔ How beginners can start without fear If you are someone who feels stuck while learning programming, trust me — you are not alone. Let’s grow together 🚀

🚀 Excited to Share My Python Learning Series on GitHub! 🐍 I’ve been working on building a structured Python course series, where I’m documenting concepts day by day along with notes and practice examples. This repository is designed to help beginners build a strong foundation in Python through consistent daily learning. 🔗 GitHub Repository: https://lnkd.in/gmDZgKhT I’ll continue updating it with more topics and improvements. If you’re learning Python or just starting out, feel free to check it out. I would truly appreciate your feedback and suggestions to make it better! #Python #Programming #OpenSource #Learning

If you are starting your Python journey, understanding **Condition Statements (if, elif, else)** is one of the most important foundations in programming. 🖇️Full Video Link mention in below 👇 Once you understand this, your coding becomes logical, clear, and confident. 📚 What You Will Learn From This Video ✔ What are conditional statements in Python ✔ How `if` works ✔ When `elif` is checked ✔ Why `else` is the final option ✔ How Python checks conditions step-by-step ✔ How to take input and apply conditions ✔ How to use `print()` for output ✔ How to convert a question into code logic ✔ How to avoid common beginner mistakes 🎯 Benefits for Foundation Beginners ✨ Strong logical thinking development ✨ Clear understanding of decision-making in programming ✨ Better problem-solving skills ✨ Confidence to write basic Python programs ✨ Preparation for interviews and coding practice ✨ Solid base for advanced topics 💡 Real Learning Advice Don’t memorize code. First understand the logic. Then write the code. Programming is a thinking skill — not a copying skill. 🤝 Let’s Learn Together If you are learning Python from scratch, this content is for you. https://lnkd.in/gfkuvkYf 👍 Like this video/post if it helped you 💬 Comment if you have any confusion 💬 Comment for appreciation 💬 Comment if you want more beginner-friendly content ➕ Follow/Subscribe for more Python learning videos Practice questions coming soon 🚀 #coding #python #dataanalytics #programmingbasics #PythonBeginners #ConditionInPython #IfElse #LearnPython #CodingForBeginners #ProgrammingBasics #PythonLearning #LogicBuilding #DeveloperJourney

I thought I was learning python by watching tutorials... until I tried building something on my own. Sitting there following along, it felt like I understood everything. But when I tried to solve problems by myself, I realized I didn't really know anything. True learning hit me when I struggled, made mistakes, and figured things out without a guide. That's when the concepts actually stuck. Now, I'm working on small python projects by myself. Nothing huge - just tiny challenges that push me to think, debug, and problem-solve. Each small project teaches me more than any tutorial ever could. Watching tutorials feels productive. Actually, doing the work is productive. I'm finally experiencing what real learning feels like - and it's brutal, exciting, and worth it. How do you balance tutorials vs. hands-on practice in your learning journey? #Python #learningByDoing #CodingJourney #Programming #Tech #PythonProjects

This is an amazing article by Arslan Qutab 7 Python Libraries That Taught Me Better Coding Without Tutorials For a long time, I thought becoming a better Python developer meant watching more tutorials. So I did what most of us do. I bookmarked courses. Saved playlists. Promised myself I’d “revise fundamentals” again. A beginner-friendly Python guide made for non-programmers. Start learning Python the easy way! And yet, my code wasn’t getting cleaner. My projects weren’t getting faster. My thinking wasn’t getting sharper. What actually changed everything wasn’t another tutorial. It was using the right libraries to solve real problems, repeatedly, until better coding habits became unavoidable. These are 7 Python libraries that quietly rewired how I write code, not because they’re flashy, but because they force you to think clearly, automate aggressively, and design systems instead of scripts. No fluff. No beginner talk. Just experience. 1. pathlib — When I Finally Stopped Treating Files Like Strings I used to handle file paths the “classic” way: Manual slashes

🚀 Why Clean Code Matters More Than Clever Code (Python Learning Journey – Day 22) At the start, I thought good code meant smart code. Short tricks. Complex logic. One-line solutions. But Python slowly corrected that thinking. 👉 Clever code impresses for a moment 👉 Clean code helps for a lifetime 👉 Readability always wins That shift changed how I write. 🌿 What Clean Code Taught Me Clean code is honest. It explains itself without comments. It doesn’t force the reader to decode intent. When code is clear, debugging becomes easier. Changes feel safer. Confidence increases. I noticed something important. Most bugs didn’t come from missing knowledge. They came from unclear structure. ✔️ Simple names reduce confusion ✔️ Clear flow reduces errors ✔️ Readable code builds trust Python rewards clarity. If the logic is clean, the solution is obvious. 🙌 Why It Matters Code is read more often than it’s written. Messy code slows everyone down. Including your future self. This lesson goes beyond programming. Clear thinking leads to clear outcomes. Python didn’t teach me how to be clever. It taught me how to be clear. 🔗 Now Your Turn When you write code, do you aim to impress or to be understood? #PythonLearning #LearningInPublic #DeveloperJourney #CleanCode #CodingMindset