🚀 Implementing Shallow Copy in Python using `copy()` (Oop Concepts) Python's `copy` module provides functionalities for both shallow and deep copying. The `copy.copy()` function performs a shallow copy. This means that a new object is created, but the attributes that are mutable objects are still references to the original object's attributes. This is efficient for simple objects but can lead to unexpected behavior when mutable attributes are modified. Understanding this difference is crucial for maintaining data integrity in OOP. #oopconcepts #programming #coding #tech #learning #professional #career #development
Python Shallow Copy with `copy()` Functionality
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🧠 Python Quiz for Developers What happens when a variable is defined inside a function without the global keyword? A. It is a local variable and cannot be accessed outside the function B. The program will throw a syntax error C. It becomes a global variable accessible everywhere D. It will overwrite any global variable with the same name automatically Understanding variable scope is a fundamental concept in Python programming. When a variable is defined inside a function without using the global keyword, it becomes a local variable. This means it can only be accessed within that function and not outside of it. Learning concepts like local vs global scope helps developers write cleaner, more predictable, and maintainable code. 💬 Comment your answer below before checking the explanation! #Python #PythonQuiz #Programming #Coding #Developers #LearningPython #AitmadPyDeveloper
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🐍 Functional Programming With Python 📈 In this learning path, you'll get a solid grasp of the fundamentals of functional programming (FP) in Python so you can use it to write concise, high-level, parallelizable code #python #learnpython
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🚀 Advanced Python – Day 1 | Exception Handling (try & except) Started practicing advanced Python concepts focusing on handling runtime errors using exception handling techniques. This helped me improve my understanding of: ✔️ Writing programs without exception handling (normal execution flow) ✔️ Using try block to test risky code ✔️ Using except block to handle errors gracefully ✔️ Preventing program crashes during runtime ✔️ Improving code stability and reliability Through this practice, I understood how proper error handling makes programs more robust and user-friendly. Continuously strengthening my Python fundamentals step by step through consistent practice. Grateful for the continuous guidance and support that motivates me to grow every day. 🙏 #Python #AdvancedPython #ExceptionHandling #TryExcept #Programming #CodingPractice #LearningJourney #SkillDevelopment #TechGrowth #WomenInTech G.R NARENDRA REDDY Global Quest Technologies
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Understanding Python Functions: Basics & Recursion Functions in Python are reusable blocks of code designed to perform specific tasks, enhancing both organization and reusability. In this example, the `factorial` function calculates the factorial of the given number `n`. An essential part of this function is its edge case: when the input is 0, it returns 1, since the factorial of 0 is defined as 1. For any positive integer, the function utilizes recursion, which means it calls itself. Each call to `factorial` for `n-1` breaks the problem into smaller instances until it reaches the base case of 0. One key benefit of recursion is its ability to simplify complex problems. However, while powerful, recursion can also lead to performance issues or stack overflow errors if too deep, especially for large numbers. Understanding when to use recursion versus iterative methods can be crucial for efficient programming. Quick challenge: What will `factorial(6)` return, and explain why? #WhatImReadingToday #Python #PythonProgramming #Functions #Recursion #Programming
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🚀 Python Practice: Armstrong Number Program Today I practiced a Python program to check whether a number is an Armstrong Number. An Armstrong number is a number in which the sum of the cubes of its digits is equal to the number itself. For example: 153 = 1³ + 5³ + 3³ = 153 In this program, I used loops, arithmetic operators, and conditional statements to extract each digit of the number, calculate the cube, and verify whether the result matches the original number. 🔹 Concepts Used: • Python while loop • Modulus operator % to extract digits • Floor division // • Conditional statements (if-else) Practicing such logic-building problems helps strengthen problem-solving skills and Python fundamentals, which are essential for coding interviews and real-world programming. #Python #PythonProgramming #CodingPractice #DataAnalytics #Programming #LearningPython
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Test your Python skills! 🐍 Think you're a master of Python list operations and variable scope? Here's a quick challenge for you! **Question:** What is the output of the final `print` statement in the Python code below? (Refer to the quiz image/attachment for the code snippet!) **Options:** A) [4] B) [1, 2, 3, 4] C) [1, 2, 4] D) [3, 4] Drop your answer (A, B, C, or D) in the comments! 👇 Let's see who gets it right! #Python #TechQuiz #CodingChallenge #Developers #Programming
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🔹 Python Functions A function is a block of code that runs only when it is called. In Python, functions help you: ✅ Organize your code ✅ Avoid repeating the same code ✅ Improve readability ✅ Return data as a result A function can take input (parameters), perform a task, and return an output. #Python #PythonProgramming #Coding #Programming #LearnToCode #Developers #SoftwareDevelopment #TechEducation #100DaysOfCode #CodeNewbie
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Advanced Python 2026 (Part 2) is Live: File Handling in Python Real-world applications don’t just run code — they work with data. In Part 2 of the Advanced Python 2026 series, we explore File Handling, one of the most essential skills for building practical Python programs. In this article, we cover: • Why file handling matters in real applications • How Python reads and writes data • Common file operations developers use • Practical use cases like automation, logging, and data processing If you want to move beyond writing simple scripts and start building real systems that manage data, this part is for you. Read Part 2 here: https://lnkd.in/emw6yWN7 #Python #Programming #JMSM #KNKA #SoftwareDevelopment #Coding #BackendDevelopment #Developers #TechEducation #Automation #DataProcessing #Python2026
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🚀 Advanced Python – Day 8 | Object Serialization & De-Serialization Continued exploring advanced Python concepts by working with data persistence using the pickle module. This helped me improve my understanding of: ✔️ OBJECT SERIALIZATION concept ✔️ DE-SERIALIZATION of Python objects ✔️ Working with the PICKLE MODULE ✔️ Using DUMP() method to store objects into a file ✔️ Using LOAD() method to retrieve objects from a file ✔️ Understanding how Python objects can be saved and restored efficiently Through this implementation, I gained clarity on how Python manages object storage and retrieval using serialization techniques. Grateful for the continuous guidance and support that motivates me to grow every day. 🙏 #Python #AdvancedPython #Pickle #Serialization #Deserialization #Programming #CodingPractice #LearningJourney #SkillDevelopment #WomenInTech #TechGrowth G.R NARENDRA REDDY Global Quest Technologies
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From Beginner to Pro: Python File Handling File handling is one of the most important concepts in Python development. Understanding how to read, write, and manage files efficiently is essential for real-world applications such as data processing, automation, and backend systems. In this explanation, we cover: • File handling basics • Best practice using with open() • File modes (r, w, a, r+) • Reading and writing files • A simple real-world example Strong fundamentals build better developers. Learn practical programming and AI skills: https://meander.training/ #Python #Programming #SoftwareDevelopment #Coding #PythonDevelopers #TechEducation #Developers
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