🚀 Exciting news for Python developers! 🐍 Hello LinkedIn, I just received an invite to Python Unplugged on PyTV — a free online Python conference hosted by JetBrains and the team behind PyCharm. 🗓 March 4, 2026 ⏰ 11 AM CET 🎥 Live on YouTube The event features 6+ hours of live talks from 15 speakers across the Python ecosystem. Topics range from core Python and web development to AI, machine learning, data science, and open source. Whether you're just starting out or already building real-world projects, there’s something valuable here. Looking forward to learning from the amazing speakers and the wider Python community. If you're interested in Python, this is worth checking out: 👉 https://lnkd.in/es3HMNSC #Python #JetBrains #PyCharm #DevCommunity #TechEvents #Learning
Python Unplugged: Free Online Conference on March 4, 2026
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🚀 Day 8 – Exploring Polymorphism & Encapsulation in Python (OOP) Today I focused on two essential Object-Oriented Programming concepts in Python — Encapsulation and Polymorphism. I studied these concepts using the following references: • Encapsulation: https://lnkd.in/esMD32W8 • Polymorphism: https://lnkd.in/eyefBU3e What I learned: 🔹 Encapsulation — wrapping data and methods together, and controlling access to internal class attributes to protect data integrity. 🔹 Polymorphism — the ability to use the same interface or method name across different classes, letting objects behave in multiple ways while using a unified interface. Understanding these helps in writing code that is: • more modular • flexible • easier to maintain These topics are key building blocks in writing scalable and robust Python applications. Step by step — strengthening OOP fundamentals! #DataEngineering #Python #AI #NewCareer #SelfLearning #OOP #Encapsulation #Polymorphism
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🐍 Week 15 – Refining My Python Skills 🐍 This week, I focused on data structures and algorithms, and transitioning from theory to implementation. Key concepts I worked on: - Created a linked list from scratch. My biggest breakthrough was seeing a linked list as a group of people holding hands rather than a straight line like an array. - Built a simple hash table with a custom hash function. Hash collisions were handled using chaining. - Practiced the basics of linear search and binary search. Taking these DSA concepts and building them in Python has greatly helped me understand how they work and why they're useful. Going back and forth between theory and implementation is a satisfying challenge, and I'm eager to keep going. #Python #CodingJourney #LearningInPublic
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🚀Day 4 – Understanding Functions in Python Today I completed learning Functions in Python, referring to the official Python documentation to understand the core concepts clearly: https://lnkd.in/eGXVg_uF Topics covered include: Defining functions Function parameters and return values Reusability and modular code To strengthen my understanding, I also referred to this detailed blog: https://lnkd.in/eWfY8aYB Functions are essential for writing clean, reusable, and maintainable code. They play a key role in structuring logic, especially when working with data processing, automation, and AI workflows. Step by step, building stronger foundations. #DataEngineering #Python #AI #NewCareer #SelfLearning
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𝗣𝘆𝘁𝗵𝗼𝗻 - 𝗠𝗮𝗱𝗲 𝗦𝗶𝗺𝗽𝗹𝗲 🐍 Everyone uses Python. But very few know its story. In this carousel, you’ll discover: • Why Guido created Python in 1991 • Why it’s NOT named after a snake • The philosophy that shaped modern programming • The controversial GIL decision • Why Python dominates AI today Python didn’t win because it’s the fastest. It won because it made developers happier. That decision reshaped the tech industry. 📌 Save this if you’re learning Python 🚀 Follow for Part 2 - Python Basics 💬 Be honest: Did you know about the GIL before this? Hashtags : #Python #Programming #Coding #SoftwareDevelopment #PythonDeveloper #LearnToCode #TechCareers #AIEngineering #PythonCommunity #DeveloperMindset #ProgrammingPhilosophy
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🚀 Day 9 – Understanding Abstraction & Special Methods in Python (OOP) Today I continued my OOP learning journey by studying Abstraction and Special (Dunder) Methods in Python. 🔹 Abstraction Abstraction focuses on hiding complex implementation details and exposing only the essential functionality, making systems easier to use and maintain. 🔹 Special (Dunder) Methods I also explored Python’s special methods like __init__, __str__, and __len__. These methods allow objects to interact naturally with Python’s built-in functions and operators. Learning these concepts helped me understand how Python classes can be designed to behave more like built-in objects while keeping code structured and maintainable. 📚 References: https://lnkd.in/eUYYx8sU https://lnkd.in/egUvmRrf Step by step strengthening my Python OOP fundamentals. #DataEngineering #Python #AI #NewCareer #SelfLearning #OOP
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Exciting News! 🎉 I'm thrilled to announce the launch of my new Open Source Python library, LLM-TokenCost! 🐍 A lightweight Python library for tracking LLM API costs with budget alerts, spending limits, and detailed per-model breakdowns. Check out the documentation and get started today: ➡️ https://lnkd.in/gUwyxPjM Open to feedback and feature addition #Python #LLM #MachineLearning #APICost #OpenSource #Developer #DataScience #AI
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🚀 New Blog Published: Python Tuples – Immutable Data in Python 🐍 While learning Python data structures, I discovered that sometimes we need data that should not change during program execution. That’s where Tuples come in. In my latest beginner-friendly blog, I explained: ✅ What are Python Tuples ✅ Indexing and accessing tuple elements ✅ Why tuples are immutable ✅ Practice questions I’m continuing to document my learning journey and share simple explanations through CodingNotesHub to help other beginners understand Python concepts more easily. 📘 Read the full blog here: 🔗 ___________________________ (Link will be added in the comments 👇) Learning step by step and building strong fundamentals 🚀 #Python #PythonForBeginners #Programming #PythonTuples #LearningInPublic #CodingJourney #EngineeringStudents #CodingNotesHub
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Python Mini Project Alert! In this Python Learning Series video, we build a Student Record System using two powerful data structures: List and Dictionary. What you’ll learn: • How to store multiple students using a list • How to store student details using dictionaries • Using menu-driven programs (Add / View / Exit) • Infinite loop with while and exit using break • Real-time project logic for beginners This project helps you understand how Python concepts work together in real applications - perfect for interviews and practice 👉 Start building real Python projects today! 🌐 Website: www.growcline.in 📧 Email: inquiries@growcline.in 📞 Call/WhatsApp: +91 73869 60739 Like | Comment | Share Follow Growcline for more Python & career-focused content #Python #PythonMiniProject #PythonProjects #PythonForBeginners #LearnPython #PythonProgramming #PythonDataStructures #PythonList #PythonDictionary #PythonWhileLoop #CodingForBeginners #ProgrammingTutorial #PythonInterview #Growcline #EdTech #StudentProjects
Python Mini Project | Student Record System Using List & Dictionary | Python for Beginners
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🚀 Just leveled up my Python foundations! I just watched an excellent tutorial by Dave Ebbelaar that gave me a solid grounding in key Python concepts — and I want to share what I learned: 🔹 How to set up and use virtual environments 🔹 Core Python syntax and structure 🔹 Python data types and how to work with them 🔹 Basics of UV (understanding what it is and why it matters) 🔹 …and a ton of other practical tips to build cleaner Python projects If you’re getting started with Python or wanting a refresher that actually makes sense, this video is worth your time: 👉 https://lnkd.in/e9H4qcCx I’m sharing this because I’m actively building skills to contribute to AI/ML development, and I’m excited to keep learning and applying what I’ve learned this year. Looking forward to connecting with others on a similar journey! 💡 #Python #MachineLearning #AI #SoftwareDevelopment #ContinuousLearning
Python for AI - Full Beginner Course
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