Python Free Threading Boosts Performance

Just solved a Python coding challenge on checking whether a string can be formed by concatenating the first k words from a list. #Python #CodingChallenge #DataStructures #Algorithms #ProblemSolving #LeetCode #CodingJourney #SoftwareEngineering #Developers #TechSkills #LearnToCode #Programming #CodeNewbie #CareerGrowth #InterviewPrep #100DaysOfCode #TechCommunity #AI #MachineLearning #DataScience #Analytics #DeveloperLife

🚀 Day 8 – Factorial Function in Python 💻 Today’s task: Write a Python function to find the factorial of a number. 🔍 The factorial of a number (n!) is the product of all positive integers less than or equal to n. 📌 This exercise helped me understand: • Function creation in Python 🧩 • Looping and mathematical logic 🔁 • Writing clean and reusable code ✨ 📈 Improving step by step and strengthening core programming concepts. #Python #100DaysOfCode #CodingJourney #Programming #ProblemSolving #Developer #LearnToCode #Tech

Ever confused between List, Tuple, and Set in Python? 🤔 Here’s the simplest way to understand it: => List [] → Ordered, Mutable, Allows Duplicates => Tuple () → Ordered, Immutable, Allows Duplicates => Set {} → Unordered, Unique Elements Only 💡 Quick Tip: Use List when you need flexibility Use Tuple when data should not change Use Set when you need unique values Mastering these basics makes your Python code cleaner and more efficient. What do you use the most in your projects? 👇 #Python #Programming #BackendDevelopment #Coding #Developers #FastAPI #AI

This video discusses about file handling in Python. Use of open, read, write, seek, close, readline, readlines, exists etc. functions have been explained.

🚀 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: 1️⃣ No Input, No Output 2️⃣ Input, No Output 3️⃣ No Input, But Output 4️⃣ 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 #DeveloperJourney 🚀

🚀 Scope of Variables (Python) The scope of a variable determines where it can be accessed in the code. Variables defined inside a function have local scope and are only accessible within that function. Variables defined outside any function have global scope and can be accessed from anywhere in the program. Python uses the LEGB rule (Local, Enclosing, Global, Built-in) to resolve variable names. #Python #PythonDev #DataScience #WebDev #professional #career #development

This is called List Comprehension in Python. And this is exactly why Python is so useful for real-world work — especially in data-related roles. Because in actual projects, we constantly need to: 1.Filter records 2.Transform values 3.Clean datasets 4.Write concise logic My takeaway: Good Python code is not just shorter. It’s smarter and more readable. Learning one small concept at a time and building toward Data Engineering. #Python #DataEngineering #LearnInPublic #CodingJourney #PythonTips #100DaysOfCode #DataEngineer #Programming #TechCareer #FutureDataEngineer

🚀 List vs Tuple in Python — A Fundamental Yet Overlooked Concept Many developers underestimate the importance of choosing the right data structure. In Python: 🔹 Lists are mutable, allowing dynamic changes such as adding or removing elements 🔹 Tuples are immutable, ensuring data integrity and better performance 💡 Why it matters: Tuples are generally faster and more memory-efficient, while lists offer flexibility for dynamic operations Choosing the right structure can improve performance, readability, and scalability of your code. 👉 Read more info: https://lnkd.in/dBs3ikTU #Python #Programming #SoftwareDevelopment #Coding #Developers #DataStructures #CleanCode #TechCareers

Still writing long loops in Python? If you’re learning Python, you’ve probably seen Lambda, Map, Filter, and Reduce, but understanding when to use them is the real game 👇 ⚡ Lambda → Small, anonymous one-line function 🔁 Map → Apply a function to every item 🎯 Filter → Select only what you need ➕ Reduce → Combine everything into one result 💡 Think of it like this: Lambda = Action | Map = Transform | Filter = Select | Reduce = Combine Master these, and your code becomes cleaner, shorter, and more powerful🚀 Keep learning. Keep building. Learn Python Step by Step With Shukry 💻 #Python #Programming #Coding #SoftwareDevelopment #Developers #LearnPython #AI #MachineLearning #Tech

How async/await Works in Python (Simple Explanation) Async programming in Python allows multiple tasks to run without blocking each other. Instead of waiting for one task to finish, Python can switch to another task. Key Concepts: - async → defines a function that runs asynchronously - await → pauses execution until the task is complete How it works: 1. Task starts (e.g., API call) 2. Instead of waiting, Python moves to another task 3. When result is ready → execution continues Example Use Cases: - API requests - Database queries - File handling - Web scraping Why it’s important: - Faster performance for I/O tasks - Better resource utilization - Handles multiple operations efficiently Final Insight: Async is not about doing things faster… It’s about not wasting time while waiting. Follow Saif Modan #Python #Async #Backend #Programming #Tech #LearningInPublic