Learn Python for data and AI with Harvard's CS50P on YouTube

⚔️ Python vs AI: Who’s Winning the Future? 🤖🐍 AI is stealing the spotlight everywhere — writing code, analyzing data, even building apps. So… is AI replacing Python? Not so fast. Python is still the language behind most AI systems. From TensorFlow to PyTorch, AI literally runs on Python’s back. It’s simple, readable, and has the largest developer army out there. AI may be smart — but Python taught it how to think. 🧠 Who wins the battle? Maybe AI creates the ideas… But Python still writes the rules. 💻🔥 #Python #AI #MachineLearning #DeepLearning #Programming #TechTrends

If anyone is interested in developing their skills in Python with ai, a quick thought based on my experience that might be helpful. 💬 Here are some tips for developing this skill:

“Why Python Still Rules the GenAI World in 2025” Python hasn’t just survived the GenAI wave—it has become the language that makes GenAI practical. When I teach AI and automation today, I notice something fascinating: Students don’t need massive theory upfront. They need tools that help them build fast, test ideas, and see results. And Python keeps winning. • It talks to every major GenAI API • It has a lightweight learning curve • It plays nicely with data, embeddings, and vector databases • It helps beginners think in small, runnable experiments In a world full of new AI models and frameworks, Python stays the constant—the quiet backbone behind everything clever. If you’re starting your GenAI journey, learn Python not as a language, but as a thinking tool. Next week, I’ll share a tiny example: “How to call a GenAI model in 10 lines of Python.” 😊 #GenAI #PythonforGenAI #ILovePython

Before you build fancy models, make your data speak the same language. Here’s how One-Hot Encoding transforms categories into machine-friendly 0s and 1s 🔢✨” #MachineLearning #DataScience #Python #OneHotEncoding #MLForBeginners #DataPreprocessing #AI #FeatureEngineering #Pandas #CodingMadeSimple #LearnDataScience #MLVisualization

Most data scientists don't know this, to my surprise. Bagging trees and random forests do not overfit when you increase the number of trees, but do underfit if the number is low. Adding extra trees just increases training time without any benefit after some point. #datascience #ai #python (image from ISLP, page 348)

Unlocking the power of data with NumPy! From mean and median to standard deviation and correlation — understanding basic statistics in NumPy is the first step to mastering data analysis in Python. Using functions like np.mean(), np.median(), np.std(), and np.corrcoef() makes statistical computation fast and reliable. Data-driven decisions start with understanding the basics. #NumPy #Python #MachineLearning #Statistics #DataScience #CodingJourney #CodeNewbie #LearningJourney #DataScienceJourney #AI #DataAnalytics #ArrayinNumpy #ArrayManipulation

🚀 Ever wondered why your Python functions behave unexpectedly when you switch argument order? In my latest video from the 🎓 “Python for Generative AI” series, I break down one of the most essential yet confusing topics for Python learners — Function Arguments. You’ll learn: ✅ The difference between parameters and arguments ✅ How positional and keyword arguments work ✅ Practical tips to write flexible, error-free Python code This concept is foundational for anyone building AI applications, writing clean APIs, or automating workflows. 💡 Watch here: https://lnkd.in/g9xv3H_7 👇 What’s your favorite Python function trick? Share in the comments and let’s learn together! #PythonForGenerativeAI #PythonTutorial #LearnPython #PythonProgramming #FunctionArguments #PositionalArguments #KeywordArguments #PythonFunctions #AIProgramming #MachineLearning #GenerativeAI #PythonForBeginners #CodingForBeginners #PythonEducation #PythonTips #CodeWithMe #ProgrammingBasics #PythonLearningSeries #DataScienceLearning #AIForBeginners #SoftwareDevelopment #CodeTutorial #YouTubeEducation #TechEducation #LearnToCode #PythonCode #PythonLesson #PythonProjects #PunyakeerthiBL #pkaitechworld

✌️ Hand Gesture Recognition using Python I recently created a simple Python project that detects my hand and recognizes how many fingers I’m showing in real time! 🖐️ If I show two fingers, it displays “2” just like that! ✌️ This project was built using OpenCV and Mediapipe, and it helped me understand the fundamentals of computer vision and hand landmark detection. I’m really excited to keep exploring AI-powered vision projects and see how far I can take this! 🚀 #Python #ComputerVision #OpenCV #AI #MachineLearning #Mediapipe #ProjectShowcase #LearningByDoing