🚀 New YouTube Video – Mastering For Loops in Python! 🐍 I just published a new video where I explain one of the most important concepts in Python: the for loop. In this video, you’ll learn: ✔️ How the for loop works in Python ✔️ How to iterate over ranges and lists ✔️ Practical examples to understand it بسهولة ✔️ Tips to write clean and efficient loops Whether you're a beginner or improving your coding skills, this video will help you build a strong foundation in Python. 🎥 Watch the full video here: 👉 [https://lnkd.in/dNcp9dEk] 💬 If you face any difficulties or have questions, let me know in the comments — I’ll be happy to help! #Python #Programming #Coding #ForLoop #LearnToCode #Developer #Tech #YouTubeLearning #Beginners
Mastering Python For Loops
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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
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One of the biggest mistakes beginners make in Python… is ignoring data types. You might write correct code, But if you don’t understand the type of data you’re working with, Your results can be completely wrong. In Python, everything has a type, from numbers to text to collections of data. Understanding this is what separates someone who copies code from someone who actually understands it. I’ll be breaking down Python data types in a simple way in my next article. 💬 Which one confuses you the most: Booleans, strings, tuples, lists, or dictionaries? #Python #Programming #DataScience #AI #Beginners #LearnToCode #Tech
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🚀 Day 2/30 – Python Challenge Continuing my Python journey! 🐍 🔹 Key Concepts: * Different data types in Python * Integer, Float, String, Boolean * Storing values using variables 💻 Mini Task: Created variables of different data types and printed them to understand how Python handles each type. 🎯 Learning Outcome: Learned how Python supports multiple data types and how to use them effectively in programs. Step by step getting more comfortable with coding! 💻✨ #Python #CodingChallenge #LearningJourney #AI #StudentDeveloper #Day2
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🚀 New YouTube Video Alert! I’ve just published a new video where I explain one of the most important concepts in Python: if / elif statements 🐍 In this video, you’ll learn: ✅ How to use "if", "elif", and "else" ✅ How to handle multiple conditions step by step ✅ How to write cleaner and more logical decision-making code This concept is essential for anyone starting with Python or improving their programming logic. 🎥 https://lnkd.in/ddeJZgXs If anyone faced confusion with conditions before, this video will make it much clearer. 💬 If you have questions or want me to explain another topic, drop a comment! #Python #Programming #Coding #Learning #Developers #YouTube #Tech
If and elif statement in python
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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
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🔥 Python hides two superpowers in plain sight — 𝐚𝐬𝐬𝐞𝐫𝐭 & 𝐚𝐰𝐚𝐢𝐭! These two keywords can completely change how you debug and how you handle async code👀 🔹 𝙖𝙨𝙨𝙚𝙧𝙩 — your silent guardian that catches logical errors before they spread. 🔹 𝙖𝙬𝙖𝙞𝙩 — your async time machine that makes concurrency feel effortless. Together, they turn ordinary scripts into debug‑proof, async‑ready masterpieces 💪 💡 If you’re learning Python, don’t just memorize syntax — explore these hidden gems that make your code feel alive. 👇 What’s one Python keyword that changed the way you code? #Python #AsyncProgramming #Debugging #LearningInPublic #CodeBetter #AIEngineer #DataScience #ProgrammingTips #LinkedInLearning
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Python is everywhere today. Many models write Python to perform nearly every task and it's also really useful to at least be able to read Python when you are looking at AI, automation and much more. With that in mind I created an absolute beginners guide to Python and the video description links to the files I use to demonstrate it. The video walks you through getting setup and writing your first apps. https://lnkd.in/gk2R8Ad7 00:00 - Introduction 00:26 - Setup 04:50 - My sample files 06:05 - Hello world 08:02 - Executing a python script 10:48 - Breaking down the syntax 13:25 - AI help 16:08 - Variables 20:21 - F-strings 22:29 - Input and output 24:45 - Math 25:03 - Conditions 30:03 - and or 33:39 - Loops 33:52 - For 35:11 - While 38:56 - Lists 42:21 - Dictionaries 43:19 - Functions 46:26 - End project 47:50 - Summary 48:17 - Close #python #AI
Absolute Beginner Guide to Python
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Want to learn Python, but don't know where to start? Check out this brand new video from YouTube legend John Savill! Learning Python has been such an unlock for me personally, and has opened so many doors and career opportunities. It's a super accessible and forgiving language, with a rich ecosystem of incredible libraries and a massive community. It's even better when paired with GitHub Copilot (as John rightly mentions in the video).
Python is everywhere today. Many models write Python to perform nearly every task and it's also really useful to at least be able to read Python when you are looking at AI, automation and much more. With that in mind I created an absolute beginners guide to Python and the video description links to the files I use to demonstrate it. The video walks you through getting setup and writing your first apps. https://lnkd.in/gk2R8Ad7 00:00 - Introduction 00:26 - Setup 04:50 - My sample files 06:05 - Hello world 08:02 - Executing a python script 10:48 - Breaking down the syntax 13:25 - AI help 16:08 - Variables 20:21 - F-strings 22:29 - Input and output 24:45 - Math 25:03 - Conditions 30:03 - and or 33:39 - Loops 33:52 - For 35:11 - While 38:56 - Lists 42:21 - Dictionaries 43:19 - Functions 46:26 - End project 47:50 - Summary 48:17 - Close #python #AI
Absolute Beginner Guide to Python
https://www.youtube.com/
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Consistency beats intensity when it comes to learning Python 💯 Working through structured Python exercises builds more than just coding knowledge it strengthens problem-solving skills, logical thinking, and the ability to handle real-world scenarios with confidence. Each small problem solved adds clarity and sharpens understanding. Python is simple to start, but mastery comes from consistent practice and applying concepts in different ways. The more you practice, the more natural it becomes. Step by step, line by line growing stronger in Python every day 💥 #Python #PythonProgramming #CodingPractice #ProblemSolving #LearnToCode #DeveloperJourney #TechSkills #ContinuousLearning #GrowthMindset
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💡 Is Python Interpreted or Compiled? 🤔 When I first learned Python, I thought: 👉 “Python is an interpreted language.” But later I realized… 👉 It’s actually both. Here’s what really happens behind the scenes 👇 1️⃣ You write Python code (.py) 2️⃣ Python compiles it into bytecode (.pyc) 3️⃣ This bytecode is executed by the Python Virtual Machine (PVM) 👉 That’s why Python feels like an interpreted language 👉 But internally, compilation is also happening 💡 In short: Python = Compiled + Interpreted Why does this matter? ✔ Platform independent ✔ Easier debugging ✔ Slower than fully compiled languages (like C) This small detail completely changed how I understand Python ⚡ Did you know this before? 👇 #Python #Programming #Coding #TechConcepts #LearnInPublic
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