Learn Python with Real Projects

🚀 Python Learning Roadmap – From Beginner to Advanced 🐍 If you're starting your journey in Python, this roadmap covers everything you need 👇 🔹 Basics (Variables, Data Types, Operators) 🔹 Control Flow (If-Else, Loops) 🔹 Functions & Modules 🔹 Data Structures (List, Tuple, Set, Dictionary) 🔹 OOP Concepts (Classes, Objects, Inheritance) 🔹 File & Exception Handling 🔹 Libraries (NumPy, Pandas, Matplotlib) 🔹 Web Development (Flask / Django) 🔹 Projects & Practice 💡 Master step-by-step, build projects, and stay consistent — that’s the key! Feel free to Repost & follow Himansh S. for more helpful resources. DM me for more helpful resources. #Python #Programming #Coding #Developer #Learning #DataScience #WebDevelopment #100DaysOfCode #TechSkills #CareerGrowth

🚀 Learning Python the Practical Way: Understanding Virtual Environments Over the past few days, I started learning Python and decided to focus on building instead of just reading syntax. Today, I explored one of the most important concepts for any developer: Virtual Environments (venv) Here’s what I understood: 🔹 A virtual environment is an isolated Python setup for a specific project 🔹 It prevents version conflicts between different projects 🔹 Each project can have its own dependencies without affecting others 💡 Why it matters: While working on multiple projects, different versions of the same library can break things. Virtual environments solve this by keeping everything separate and controlled. 🛠️ What I practiced: Creating a virtual environment Activating and deactivating it Installing packages inside it Understanding how Python uses project-specific paths This concept is very similar to how we manage dependencies in Node.js projects, but implemented differently in Python. Next step: Building a simple backend server using FastAPI to apply this knowledge in real projects. #Python #BackendDevelopment #FastAPI #WebDevelopment #LearningInPublic

Getting an #MCP server up and running doesn’t have to be complicated. This walkthrough shows how to build a simple #MCPserver in Python and host it in the Obot MCP Gateway, so you can understand how everything connects without getting lost in complexity. Read more on our blog:

The following is a blog that I published which is a practical hands on MCP guide to building a MCP Client and Server using MCPs Python SDK. MCP is a standard that is being adopted in the industry quickly as AI agents take over many workflows and giving them the right context is the biggest hurdle to making them useful. MCP is quickly proving to be a pretty essential tool for that. For anyone who is starting out in AI Engineering or Software Engineering, MCP is a concept that is becoming important to learn and this practical implementation is a solid starting point to learn what happens under the hood. https://lnkd.in/e-QuVRts #ArtificialIntelligence #AIAgents #MCP #Beginnerfriendly #Python

Most people don’t forget Python They forget it because they stop using it. That was my problem. I came back to coding and realized something frustrating: I understood the concepts… but I couldn’t remember the syntax clearly. So instead of just relearning randomly, I did something different. I built a complete Python A–Z repository — not just to learn, but to never forget again. What makes this different? This is NOT just notes. This is a structured, practical guide designed to: 1. Help you quickly recall Python syntax after a break 2. Give you clear explanations with examples 3. Take you from basics to advanced step by step 4. Be your go-to reference anytime you feel lost What’s inside? 1. Python Fundamentals 2. Control Flow 3. Loops 4. Data Structures 5. Functions 6. Object-Oriented Programming (OOP) 7. File Handling  8. Error Handling 9. Modules & Packages 10. Advanced Python (Decorators, Generators, etc) Why I’m sharing this: Because I know many people struggle with the same thing: You learn… you stop… you forget… you start again. This is built to break that cycle. GitHub Repository: https://lnkd.in/dUSyqH2h What’s next? 1. More projects. 2. More practical content. 3. More real-world applications. I’ll keep sharing everything I build along the way. If you're learning Python or working on improving your skills, follow me I’ll be sharing practical content that actually helps. And tell me: What’s the hardest thing for you in Python right now? #Python #Programming #AI #MachineLearning #DataScience #SelfLearning

Python List Methods Tip: append() and extend() Most Python Beginners Don’t Realize This List Mistake, append() and extend() look almost the same… But using the wrong one silently changes your data structure. Here’s the real difference: - append() adds the entire object as ONE element. - extend() adds each element individually. That means this: - append() → Creates nested lists - extend() → Keeps list flat Why This Matters: - This small mistake often causes unexpected bugs while looping, filtering, or processing data. - Many developers only notice it when their logic suddenly stops working. Simple Rule To Remember: - If you want to add one item → append() - If you want to merge items → extend() Small concepts like this make your Python code cleaner and easier to debug. Have you ever accidentally created a nested list using append()? #Python #LearnPython #PythonTips #Programming #Coding #SoftwareEngineering #PythonDeveloper

🐍 Mastering Python Starts with the Basics Many beginners jump straight into frameworks… But struggle later because their fundamentals are weak. 👉 The truth is: If you understand Python syntax well, everything else becomes easier. Key concepts every developer should know: ✔ How to execute Python code ✔ Importance of indentation (Python strictly enforces it) ✔ Writing clean and consistent code ✔ Variables & data handling ✔ Using comments effectively 💡 Python isn’t just about writing code — it’s about writing readable, structured, and error-free code. 💥 The real question is: Are you just learning Python… or building a strong foundation? I’ve simplified Python syntax into an easy-to-understand guide for beginners. 💬 Comment “PYTHON” if you’d like more such simple learning resources 📌 Follow for more developer-focused insights and practical learning tips #Python #Programming #SoftwareDevelopment #Coding #LearnPython #Developers #TechCareers #CodingTips #DeveloperJourney #TechEducation

🚀 Python Cheat Sheet Every Developer Should Bookmark A well-structured Python cheat sheet that brings together essential concepts—from string operations and data structures to file handling, math functions, and system utilities—all in one place. Instead of digging through documentation every time, having a quick reference like this can significantly speed up development, debugging, and learning. 🔗 Explore it here: https://overapi.com/python Whether you're a beginner building your fundamentals or an experienced developer needing quick recalls, resources like this make a real difference in productivity. 👉 Clean code starts with clarity in basics 👉 Faster problem-solving comes from knowing your tools well 👉 Efficiency improves when references are within reach If you're working with Python, this is definitely worth keeping handy. #Python #Programming #Developers #SoftwareDevelopment #Coding #Tech #Learning

🚀 Python Tips & Tricks That Actually Make a Difference Recently explored some powerful Python insights that simplify coding and boost efficiency. From writing cleaner code to optimizing everyday tasks, small tricks can create a big impact. 💡 Key takeaway: Consistency in learning and applying best practices is what separates good developers from great ones. Whether you're a beginner or already working with Python, there’s always something new to learn and improve. 📘 Keep building. Keep experimenting. Keep growing. 👉 Don’t forget to follow Anurag Gautam for more valuable tech content 🔁 Repost if you found this useful 💬 Share your favorite Python tip in the comments #Python #Programming #Coding #Developers #Tech #Learning #SoftwareDevelopment #Productivity #CodingTips