LYKAJIGARI SIDDHARTHA’s Post

📖 Every Python learner reaches a moment where tutorials feel rushed and concepts feel scattered. That’s why handwritten notes still work so well—they slow things down, simplify logic, and make learning feel less overwhelming. Sharing Python Handwritten Notes (Basics ➜ OOP) designed to help beginners understand concepts in a clear, structured, and beginner‑friendly way 🐍📘 📚 What these notes cover: ✅ Variables & Data Types ✅ Conditional Statements ✅ Loops (for / while) ✅ Functions ✅ Lists, Tuples, Sets & Dictionaries ✅ String Handling ✅ File Handling ✅ Exception Handling ✅ Object-Oriented Programming (OOP) Ideal for: 🎓 Students 👩💻 Beginners starting their Python journey 📝 Quick revision before exams or interviews 💡 Because strong fundamentals always lead to strong coding skills. 📌 Save this post for revision 💬 Comment “PYTHON” if you’d like the PDF 🔁 Share with your coding friends 📢 All credit goes to the original creator of this material. Feel free to repost and follow BANDI DIVYA for more informative and beginner‑friendly learning resources. #Python #LearnPython #PythonBasics #OOP #ProgrammingForBeginners #CodingJourney #InterviewPreparation #HandwrittenNotes #DeveloperCommunity

🚀 Day 14 of Python Learning: Object-Oriented Programming (OOP) in Python Today I learned the basics of Object-Oriented Programming in Python. OOP helps organize code using classes and objects, making programs reusable and scalable. 🔹 What is OOP? OOP is a programming approach where we model real-world entities as objects with data and behavior. 🔸 What is a Class? A class is a blueprint for creating objects. Example: class Student: name = "Rohit" 🔸 What is an Object? An object is an instance of a class. Example: s1 = Student() print(s1.name) 🔸 Using Constructor (init) class Student: def init(self, name, age): self.name = name self.age = age s1 = Student("Rohit", 22) print(s1.name) 🔸 Method Example class Student: def greet(self): print("Hello Student") 💡 Key Learning: Classes define structure, while objects use that structure with real values. 🧪 Practice Task: ✔ Create a Car class ✔ Add brand and model using constructor ✔ Create object and print values ✔ Add one method to display details 🎯 Interview Question: What is the difference between class and object in Python? Answer: A class is a blueprint, while an object is a real instance created from that blueprint. 📌 Day 14 completed — stepping into advanced Python concepts! #Python #Learning #CodingJourney #Day14 #Programming #SDET #100DaysOfCode Masai #dailylearning #masaiverse

If anyone is interested in developing their skills in Python (Programming Language), a quick thought based on my experience that might be helpful. 💬 Here are some tips for developing this skill: I currently learning on py4e.com and its free

Why Most Beginners Struggle with Coding (And How I’m Fixing It) When I started learning Python, I realized something important: It’s not the language that’s difficult — it’s the lack of strong fundamentals. So instead of jumping into advanced topics, I went back to basics and started practicing simple programs consistently: ✔️ Loops & conditions ✔️ Problem-solving (prime numbers, factorial, Fibonacci) ✔️ Logic building through small exercises Here’s what I learned: •Writing 100 small programs teaches more than watching 100 tutorials • Consistency beats intensity •Understanding logic is more important than memorizing syntax Now, every problem feels a little easier, and confidence is growing step by step. If you're learning to code, focus on this: Master the basics. Practice daily. Build logic. That’s the real shortcut. #Python #Coding #Learning #Developers #Programming #CareerGrowth

Master Python the Right Way 🐍👇 When I first started learning Python I realized something very quickly You can’t master a language just by reading syntax or watching tutorials ❌ Real growth happens when you: → Practice → Build → Struggle a bit → Solve problems on your own 💡 That’s exactly why I put together a collection of Python programs 📚 Designed to take you from basics → advanced thinking What this includes 👇 🧩 Beginner to advanced programs Clear explanations. No confusion 🔁 Pattern-based exercises Build strong fundamentals step by step 🧠 Problem-solving programs Sharpen your logic and thinking The real benefit? 🎯 You don’t just learn "how to code" You start learning "how to think like a programmer" This is perfect if you are 👇 🎯 Preparing for technical interviews ⚔️ Practicing coding challenges 🚀 Building real-world projects And trust me Once you start practicing like this your confidence will change 📈 Not just in Python but in programming overall Fun fact 😄 My first Python program was 👉 Hello World Simple ------------- But powerful What was YOUR first program? 👇 If this helps you share it with someone who’s learning Python 🤝 It might be exactly what they need #python #coding #programming #developers #techcareers #learningjourney #interviewprep #datascience #softwareengineering #beginners #upskill #engineerlife

🚀 Beginner-Friendly Python Practice PDF (Free Resource) Today I’m sharing a simple and practical Python learning resource for beginners 📘 This PDF covers 20 essential Python problems that help build a strong foundation in programming and logical thinking. 🔹 What you’ll learn: ✔️ Basic problem-solving (swap numbers, even/odd, reverse) ✔️ Important concepts (Armstrong number, palindrome, prime) ✔️ Loops & conditions (factorial, Fibonacci series) ✔️ List operations (largest number, remove duplicates) ✔️ String logic (anagram, vowel count) Each problem is designed to improve logic building + coding confidence, which is very important for Data Analysis and real-world projects. 📂 Check out the full PDF here: 💡 Perfect for students, beginners, and anyone starting their Python journey. If you find this helpful, feel free to connect and share your thoughts 🙌 #Python #Beginners #Coding #Programming #DataAnalysis #Learning #100DaysOfCode

🚀 Found an Amazing GitHub Repo to Learn Python While exploring GitHub, I came across this resource: https://lnkd.in/g6wRtmqM And honestly, it’s one of the most structured ways to learn Python. What makes it useful: - Step-by-step learning (Day 1 → Day 30) - Covers basics to advanced concepts - Includes real examples + exercises - Self-paced (you can go beyond 30 days) What you’ll learn: - Core fundamentals (variables, loops, functions) - Data structures (lists, dictionaries, sets) - Advanced topics (OOP, APIs, web, databases) All in a single structured roadmap. Why I like it: Instead of jumping between random tutorials… this gives a clear path to follow. Final thought: Sometimes the best resources are not courses… they’re hidden in open-source. If you're learning Python, this is worth checking out. Follow Saif Modan #Python #Learning #GitHub #Coding #Developers

Day 24 My Python Full Stack Development Journey Today’s learning focused on strengthening my understanding of Object-Oriented Programming (OOP) concepts in Python 💻 🔹 Getter & Setter MethodsLearned how to control access to class data using getter and setter methods. This helps in achieving encapsulation and protecting sensitive data. 🔹 Instance MethodsMethods that work with object-level data and require self. These are the most commonly used methods in classes. 🔹 Class MethodsDefined using @classmethod, these methods work with class-level data and use cls as a parameter. 🔹 Static MethodsDefined using @staticmethod, these methods don’t depend on class or instance variables. Useful for utility functions. 💡 Key Takeaways:✔️ Encapsulation improves data security✔️ Instance methods handle object-specific behavior✔️ Class methods manage class-level operations✔️ Static methods are independent utility functions 📈 Step by step, building a strong foundation in Python and OOP concepts! Thanks for our CEO G.R NARENDRA REDDY sir and Global Quest Technologies #Python #OOP #Programming #LearningJourney

The Pythonic Way When you start learning a programming language, you often focus on syntax—whether built-in or community-defined. As beginners, it’s natural to believe that the way we think and implement solutions is the best way. At that stage, even the people around us may reinforce that belief, making us feel we’re on the right path. But the real shift happens the day someone tells you: "Yes, your solution works. But that’s not the right way to do it." That’s when you encounter the idea of the “Pythonic way.” Being Pythonic is not just about getting the correct output—it’s about writing code that is simple, readable, efficient, and aligned with Python’s philosophy. It’s about making your code feel natural to the language itself. For example, if you're trying to implement a linked list in Python, forcing it using list indexing instead of using proper classes and structures may work—but it’s not Pythonic. Python already provides powerful abstractions, and using them wisely is what sets good code apart from great code. 💡 The key lesson: Writing code that works is just the beginning. Writing code that is clean, elegant, and Pythonic is the real goal. #Python #Programming #Coding

If you're learning Python, these notes might help ✨ Learning Python becomes much easier when concepts are explained in a clear and structured way.These notes follow a simple approach that makes even basic topics easy to understand. • Well-organized topics from basics to important concepts • Simple and easy-to-understand explanations • Practical examples that improve clarity • Helpful for both beginners and quick revision Instead of going through long and confusing resources, having something concise like this can save a lot of time and effort. If you're currently learning or revising Python, this might be useful for you✨ 📲 Join my WhatsApp channel for daily SQL & analytics interview prep : https://lnkd.in/gbsnzzKb #Python #Coding #Learning #DSA #Programming #Students #Developer