🚀 Access Modifiers in Python: Naming Conventions for Encapsulation (Oop Concepts) Python doesn't have explicit access modifiers like 'private' or 'protected'. Instead, it relies on naming conventions to indicate the intended visibility of class members. Attributes and methods with a single leading underscore ('_') are considered 'protected' (meant for internal use within the class and subclasses), while those with a double leading underscore ('__') are name-mangled to make them harder to access directly from outside the class. However, these are conventions, not enforced restrictions. #oopconcepts #programming #coding #tech #learning #professional #career #development
Python Access Modifiers: Naming Conventions for Encapsulation
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💻 Python Practice Programs 🚀 Here are some simple yet important Python programs every beginner should know 👇 🔹 Program 4: Swap two variables 🔹 Program 5: Generate a random number 🔹 Program 6: Convert kilometers to miles 🔹 Program 7: Convert Celsius to Fahrenheit These basic programs help build a strong foundation in Python by improving logic, understanding of variables, and real-world problem solving. 📌 Consistency is the key — small steps every day lead to big results. #Python #Programming #Coding #DataScience #Learning #Beginners #Tech #DeveloperJourney #100DaysOfCode
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(DAY- 10) 🚀 Python String Functions Made Simple Understanding string functions is essential for every Python learner. From converting text using "upper()" and "lower()" to modifying and analyzing data with "replace()", "split()", and "find()", these functions help you handle text efficiently in real-world projects. In this post, I’ve covered important Python string functions with clear definitions and examples to make learning easy and practical. 💡 Save this for revision and keep practicing! #Python #Programming #LearnPython #Coding #DataAnalytics
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Day 7/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 20: Valid Parentheses 💡 Problem: Check if a string of brackets is valid based on correct order and matching pairs. 🧠 What I learned: • Stack data structure • Handling nested structures • Efficient validation logic 💻 Example: Input: "([])" Output: True 🚀 Insight: Using a stack helps track opening brackets and ensures proper matching with closing ones. Small problems, big learning 💪 #30DaysOfCode #Python #LeetCode #Stack #CodingChallenge #ProblemSolving
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📚 New Tutorial on SYUTHD: Leveraging Python 3.14 No-GIL for High-Performance Multi-Agent Systems in 2026 🏷️ Category: Python Programming 📖 Read it here → https://lnkd.in/gcaT-tr2 💬 Telegram: https://t.me/nisethtechno 👍 Facebook: https://lnkd.in/gsKv3Dyn #PythonProgramming #Tech #Tutorial #Programming #2026
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Started revisiting the fundamentals of Python, and it’s a great reminder that strong basics build strong developers 💻 From simple concepts like print() and input() to variables, loops, and functions — Python keeps things clean, readable, and beginner-friendly while still being powerful enough for real-world applications. Sometimes, going back to basics is the best way to move forward 🚀 #Python #Programming #Coding #Learning #DataScience #Tech
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🚀 Day 20 of my Python learning journey Today I learned about Operator Overloading in Python. I understood how we can define the behavior of operators like +, -, * and == for custom objects by overriding specific magic methods in our class. I practiced building a Vector class from scratch and tested different operations on Vector objects to see how Python internally calls these magic methods. I always used w3schools.com to understand the concepts more clearly. Today's learning helped me understand how powerful and flexible OOP really is. You can make your custom objects behave just like built-in types. My work is here https://lnkd.in/gGsjWtee #Python #100DaysOfCode #LearningInPublic #OOP #Programming #Developers #DSA #W3Schools
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Understanding Python Functions - The Core of Programming Functions are the building blocks of clean and efficient code in Python. Mastering them helps you write reusable, modular, and readable programs. ◆ In this post, I've covered: Syntax to create a Python function 4 Types of Functions: 1 No Input, No Output 2 Input, No Output 3 No Input, But Output 4 Input & Output Factorial function implementation Arithmetic operations using functions Actual vs Formal Parameters (important for interviews!) Key Insight: Choosing the right type of function is like hitting the bullseye - it makes your code precise and effective. Keep learning. Keep building. Keep growing. #Globalquesttechnolgies #GR Narendra Reddy #Python #Coding #Programming #PythonFunctions #100DaysOfCode #Developer Journey
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Today I learned something new in Python. There is nothing truly private in Python; even so-called private class variables can be accessed from outside the class. Python relies on developer discipline rather than strict enforcement. Privacy in this context is a convention, not a rule. This is a small detail, but it represents an important mindset shift. #Python #PythonProgramming #TIL #Programming #SoftwareEngineering #CodingLife #DeveloperMindset #CleanCode #OOP #LearningEveryDay
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Day 4/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 10: Regular Expression Matching 💡 Problem: Implement pattern matching with support for: • '.' → matches any single character • '*' → matches zero or more of the preceding element 🧠 What I learned: • Dynamic Programming (DP) • Recursion with memoization • Handling complex pattern matching logic 💻 Example: Input: s = "aa", p = "a*" Output: True 🚀 Insight: Instead of brute force, I used DP to efficiently check all possibilities, especially when handling '*' cases. This was a challenging but rewarding problem 💪 #30DaysOfCode #Python #LeetCode #DynamicProgramming #CodingChallenge #ProblemSolving
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A simple rule-based Python chatbot demonstrating basic flow control, loops, and user input handling. Ideal for beginners learning if-elif logic. 🟢github link⬇️ https://lnkd.in/gXJyzYRW #codeAlpha CodeAlpha #PythonProgramming #Basicchatbot
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