⚡ **What will be the output of the below Python code ? 🤔** ``` print( 'Hello' * 3 ) ``` 🧠 Think like you got this question in Interview! Most developers would be confused to answer, as Python has a surprise waiting! 😲 🎥 Watch the reel to see the actual output and understand the logic behind it. 🌐 **CHECK BIO FOR WEBSITE LINK 🔗** 🔴 **Follow ABITM for more Python Development & AI-ML tips, tricks, and coding puzzles** 📲🤞 🚨 Don't forget to **Like 👍 | Share 📤 | Follow our page** for more developer content. [ Python, AI, ML, DL, Programming Logic, Coding Practice] #python #coding #programming #aiml #codingchallenge #codingquestions #viralreelschallenge #ViralContentCreator #aigenerated

Python is the world's number one language for AI. It's also how most teams accidentally build their worst technical debt. We've reviewed 50+ Python codebases. The same 4 mistakes appear every time. Swipe to see what to fix before your codebase becomes a liability. → Mistake 1: No type hints → Mistake 2: Notebooks in production → Mistake 3: Unpinned dependencies → Mistake 4: Sync where you need async The best Python codebases we've worked on share one thing: They were written as if the team expected it to still be running in 5 years. Type hints. Tested modules. Pinned deps. Async where it matters. That discipline is the difference between a Python product and a Python project. Bacancy builds Python systems that scale. DM us if you're inheriting one that doesn't. #Python #PythonDevelopment #CleanCode #TechnicalDebt #SoftwareEngineering #BackendDevelopment #EngineeringLeadership #HirePythonDevelopers

🚀 Python's Core Operators: Arithmetic, Comparison, and Logical Python provides a rich set of operators for performing various operations. Arithmetic operators (+, -, *, /, %, **) are used for mathematical calculations. Comparison operators (==, !=, >, =, <=) are used for comparing values and returning boolean results. Logical operators (and, or, not) are used for combining boolean expressions. Understanding these operators is fundamental for writing conditional statements and performing data manipulation. Learn more on our app: https://lnkd.in/gefySfsc #Python #PythonDev #DataScience #WebDev #professional #career #development

I spent 20 hours exploring the new Python Interpreter Written in Python, and what I found surprised me. The idea of a Python interpreter written in Python itself sounds like a circular dependency, but it's a real project that has the potential to simplify many tasks. As someone who works with Python daily, I was curious to see how this project could impact my workflow. One specific insight I gained was how this interpreter can be used to optimize Python code for better performance. I compared the execution speed of the same code using the traditional CPython interpreter and the new Python interpreter, and the results were interesting. The new interpreter showed a significant improvement in execution speed for certain types of tasks. I also experimented with using this interpreter for automating tasks and found it to be very effective. Are you using this yet? I'd love to hear about your experience with the new Python interpreter and how it's impacted your work. --- I share findings like this every week. Follow — no fluff, just real explorations. #PythonInterpreter #LearningInPublic #DevTips #AITools

Most Python developers have never heard of MRO and that is exactly why their inheritance code breaks in ways they cannot explain. Method Resolution Order is the rule Python follows to decide which base class gets searched first when you call a method. It is not random. It is not guesswork. Python uses a specific algorithm called C3 Linearization to determine that order every single time consistently and predictably. Once you understand MRO, debugging complex class hierarchies stops being a mystery. You start writing cleaner inheritance structures, making smarter design decisions, and walking into technical interviews with real confidence. The best Python developers do not just write code that works. They understand why it works. This is the difference between knowing Python and truly mastering it. Start building that deeper understanding today at itlearning.ai where AI-powered learning helps you go beyond the basics and into the concepts that actually matter in the real world. #itlearningai #python #pythonmro #learnpython #pythonoop #pythondeveloper #objectorientedprogramming #pythoninternals #softwaredevelopment #techeducation #100daysofcode #pythonadvanced #techinterview #codingtips #pythonprogramming

🚀 Built Python Mini Project: Typing Speed Tester As part of my Data Analytics learning journey, I created a simple but useful Python project that tests typing speed and accuracy. 🔹 What this project does: ✅ Shows a random sentence to type ✅ Measures time taken by the user ✅ Calculates typing speed in WPM ✅ Checks typing accuracy using word comparison Through this project, I practiced important Python concepts like: • Functions • Lists • Random module • Time module • String handling • Basic logic building This small project helped me understand how Python can be used to create real-world utility tools, even with basic concepts. Step by step, I am improving my programming and problem-solving skills. 💻✨ #Python #DataAnalytics #MiniProject #PythonProject #LearningPython #CodingJourney #Programming #DataAnalyst #BeginnerProject #LinkedInLearning

🚀 Day 27 of Python Problem Solving!! Today, I worked on the classic Two Sum problem. 💡 What I Practiced Today: Traversing arrays using loops Understanding brute force vs optimized approaches Using hashmaps (dictionaries) for faster lookups Improving time complexity from O(n²) to O(n) Writing clean and efficient Python code 🧠 Problem Statement: Given an array of integers nums and an integer target, return the indices i and j such that: nums[i] + nums[j] == target and i != j. 📌 Example: Input: nums = [2, 7, 11, 15], target = 9 Output: [0, 1] ✨ I explored two approaches: 1️⃣ Brute Force using nested loops (O(n²)) 2️⃣ Optimized approach using a dictionary for constant-time lookup (O(n)) This problem helped me understand how choosing the right data structure can significantly improve performance — an important concept for coding interviews. #Day27 #100DaysOfCode #Python #CodingJourney #ProblemSolving #DataStructures #Programming #LearnToCode #TechJourney

🚀 Python Mini Project: Voice Alarm Clock ⏰ I recently built a simple yet interesting project using Python — a Voice Alarm Clock that not only tracks time but also speaks a message when the alarm triggers 🔊 🔧 Tech Used: Python datetime module pyttsx3 (Text-to-Speech) time module 💡 How it works: Continuously checks the current time Matches it with the set alarm time Triggers a voice message (“Good Morning”) when the time matches This project helped me understand: ✔️ Working with real-time systems ✔️ Text-to-speech integration ✔️ Writing clean loops and conditions Grateful for the guidance and inspiration 🙌 Special thanks to Ajay Miryala for support. Looking forward to building more such practical projects! 💻✨ #Python #Coding #Projects #BeginnerProjects #LearningByDoing #DeveloperJourney #AI #Tech

Just published my latest article on Medium 🚀 "Everything is an Object in Python — What That Really Means" In this post, I dive deeper into how Python handles objects, the difference between mutable and immutable types, and how memory and references really work behind the scenes. This project completely changed the way I think about variables and function behavior in Python. 🔗 Read it here: https://lnkd.in/diUXBpGW #Python #Programming #SoftwareEngineering #Holberton #TuwaiqAcademy

🚀 Day 21 of My Python Journey – Solved Search Insert Position! 💻✨ Today I worked on a problem that looks simple but really tests your understanding of Binary Search. 📌 Problem Statement Given a sorted array of distinct integers and a target value: Return the index if the target is found If not, return the index where it should be inserted Example: nums = [1,3,5,6] target = 2 ✅ Output: 1 🔍 My Approach I used Binary Search to solve this efficiently. Start with left and right pointers Find the middle element Compare with the target Adjust search space accordingly The interesting part is: 👉 Even if the element is not found, the left pointer ends at the correct insertion position That’s a really neat trick I learned today 💡 💡 Key Learning This problem helped me understand: ✔ Binary Search more deeply ✔ How to find insertion position without extra steps ✔ Writing clean and efficient logic ✔ Handling edge cases ⏱ Complexity Time Complexity: O(log n) Space Complexity: O(1) Small problems like this sharpen the fundamentals really well 🔥 #Python #DSA #BinarySearch