How Python handles object references and memory management

🚀 Day 8 – Learning Python 🐍 Today, I explored some core concepts of Python, including: 🗂️ Modules: Built-in, external, and creating custom modules 🔹 Functions & Scope: Local vs Global variables, global keyword 📖 Docstrings: Documenting functions for clarity ✨ Lambda & Map: Quick one-liner functions 🔄 Recursion: Power, digit count, reverse string, Fibonacci 🧮 Math Module: Working with π and mathematical functions Python keeps getting more interesting every day! 💡 #Python #LearningPython #Programming #Recursion #LambdaFunctions #Modules #CodingJourney #1000DaysOfCode #DeveloperLife

🚀 Solved: Armstrong Numbers from 1 to N in Python! Today, I implemented a program to print all Armstrong numbers from 1 to N using Python. 💻 🔹 What I learned: How to calculate the number of digits in a number. How to extract each digit of a number using string conversion. Applying the concept of raising digits to the power of their count and summing them. Using Python for loops efficiently to iterate through numbers and digits. 🔹 Example: For N = 200, the Armstrong numbers are: 1, 2, 3, 4, 5, 6, 7, 8, 9, 153 🔹 Key Takeaway: All 1-digit numbers are inherently Armstrong numbers, and multi-digit Armstrong numbers satisfy the sum-of-powers rule, demonstrating how number theory can be implemented programmatically. This exercise strengthened my understanding of loops, number manipulation, and Python basics, which are crucial for algorithmic problem-solving. #Python #Programming #ProblemSolving #NxtWave #LearningByDoing #ArmstrongNumbers #CodingJourney #TechSkills #50DaysCodingChallenge Day 1.

🚀 Star Pattern Name Generator in Python! 🌟 I recently created a Python program that prints names using star patterns (✳️) for each alphabet. The program uses a custom def word() function and conditional logic to print each letter row by row — a creative way to combine loops, conditionals, and pattern logic in Python. This project helped me strengthen my understanding of: ✅ Nested loops ✅ Conditional statements ✅ String manipulation ✅ Function-based modular programing This project made me realize how creative coding can be — it’s not just logic, it’s art made with loops! 🎨💻 I’m super excited to keep building more creative Python projects and share them with everyone here. More to come soon — stay tuned! 🔥 #Python #Coding #Learning #Innovation #815LinesOfCode #CreativeCoding #ProgrammersLife #PythonProjects #CodingJourney

Python range() Function The range() function in Python is used to generate a sequence of numbers — perfect for controlling loops! 📘 Syntax: range(start, stop, step) start → where the sequence begins (default is 0) stop → where the sequence ends (exclusive) step → the interval between numbers (default is 1) 📍The range() function is simple but powerful — especially useful for iterating through datasets or automating tasks in data analytics! 📊 #Python #Coding #LearningPython #DataAnalytics #Programming

🐍𝐖𝐡𝐚𝐭 𝐈 𝐥𝐞𝐚𝐫𝐧𝐞𝐝 𝐭𝐨𝐝𝐚𝐲: The difference between 𝐢𝐬 and == in python and how one tiny detail can change your program’s logic. A while back, I wrote code that compared two lists: a = [1, 2, 3] b = [1, 2, 3] print(a == b) # True print(a 𝐢𝐬 b) # False At first, I couldn’t understand why one was True and the other False. Then it clicked 💡 == checks if values are equal. 𝐢𝐬 checks if both variables point to the 𝐬𝐚𝐦𝐞 𝐨𝐛𝐣𝐞𝐜𝐭 𝐢𝐧 𝐦𝐞𝐦𝐨𝐫𝐲. They looked identical, but Python knew the difference. 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: Use == when comparing data, and 𝐢𝐬 when checking object identity (like 𝐢𝐬 𝐍𝐨𝐧𝐞). Tiny lessons like this remind me how deep Python really is. 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧: What’s a small Python concept that once confused you but now feels obvious? #Python #LearningInPublic #Programming #DailyLearning #DataScience #CareerGrowth

💡Understanding Constructors in Python(OOPs concept) In Python, the __init__() method is a constructor, also known as a special or magical method. '''Python class A: def __init__(self,s):       self.x=s          def f2(self):               self.a=self.x+10     print("a=",self.a) obj=A(100) obj.f2() print("a=",obj. a)''' #Output: a=110 b=110 #Python #OOP #Constructor #Programming #Learning

**🚀 Day 45 of my #50DaysOfCode Challenge** 📘 **Topic:** Python Objects 🔍 **What I Learned:** In Python, everything is an **object**. Anything that can be assigned to a variable—like strings, integers, floats, or lists—is treated as an object. For example: * `"A"` → String object * `1.25` → Float object * `[1, 2, 3]` → List object Objects make Python a powerful and flexible object-oriented language. 🧠 **Key takeaway:** Every value in Python is an object, no matter how simple it looks! #Python #Learning #CodingChallenge #100DaysOfCode #Programming #NxtWave

Python Dictionary Comprehension Practice Today I Practiced solving problems using Dictionary Comprehension in Python, which helped me write shorter, cleaner, and more efficient code. Concepts I worked on: Creating dictionaries of squares and filtered even numbers Character frequency counting Inverting keys and values Conditional filtering (values > 10) Odd/Even labelling Working with ASCII values and word lengths Learning these helped me understand how Python handles key-value pairs efficiently using just one line of logic. Every day, one new concept, one step closer to mastering Python! Sharing my practice work below #Python #DictionaryComprehension #CodingPractice #LearningJourney #FullStackDeveloper #10000Coders #CodeEveryday #Programming #Thank_You Ajay Miryala Sir

Back to basics: learning and restudying Python programming in depth. In Python, the round() function uses a method called banker’s rounding (or "round half to even"). When a number is exactly halfway between two integers (like 1.5, 2.5, 3.5, etc.), it gets rounded to the nearest even number instead of always rounding up. For example: round(1.5) # → 2 (nearest even) round(2.5) # → 2 (nearest even) round(3.5) # → 4 (nearest even) round(4.5) # → 4 (nearest even) This approach is used to reduce bias in calculations. If Python always rounded halves upward, the results of averages or sums over many numbers would be slightly higher. By rounding to the nearest even number, the bias cancels out over a large dataset. #PythonProgramming #BackToBasics #LearnPython #PythonDevelopers #BankersRounding