New course on SQL AI agents with Python hits 3000 learners milestone

🚀 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

🐍 Master Python Lists — Visually, Step-by-Step Learning Python Lists just got easier 👇 from creation ➡️ slicing ➡️ loops ➡️ comprehensions ➡️ and more. Perfect for quick learning, interviews, or revision 💡 📄 Swipe through the PDF — simple, clean & beginner-friendly. ❤️ Like / 🔁 Share to help others learn Python faster. 🔗 Follow me on LinkedIn: https://lnkd.in/g9bKDPbt for more Python & AI guides ✍️ Read my articles on Medium: https://lnkd.in/gaHDsyU9 #Python #PythonProgramming #Coding #DataScience #AI

As an educator, I can tell whether GPT or a student created a Microsoft Word document by looking at the author of the file. When GPT generates a Word file, the author is 'python-docx': the Python package used to generate Word documents. Indeed, a basic knowledge of Python is necessary to leveraging GPT.

📚 Supervised learning is at the core of statistical learning, where the goal is to train a model using labeled data. The model learns from these labeled data to predict the output for new, unseen data. 📌DOWNLOAD FREE PDF HERE 🔜 https://lnkd.in/d5EmK2C6 The Elements of Statistical Learning offers a comprehensive framework for analyzing and interpreting data using statistical and machine learning techniques. #python #pythonprogramming #pythondevelopment #growthifyme

🧠 Day 78 — Scikit-learn Base Jupyter Notebook Today I learned how to build a simple Machine Learning model using Scikit-learn in Jupyter Notebook. From loading data to saving the trained model — this covered the full ML workflow. I used the “tips” dataset, prepared the data, trained a Linear Regression model, made predictions, and evaluated it using MAE and R² Score. Finally, I saved the model using pickle for future use. This practice helped me understand the complete process of creating, testing, and saving an ML model in Python. ✨ #Day78 #MachineLearning #ScikitLearn #Python #DataScienceJourney #LearningEveryday

AI-Based Study Planner I built a smart study planner using Python and Machine Learning that: Predicts the number of study hours needed for each subject based on your target scores Generates a daily study plan with prioritized subjects Highlights the subject that needs the most focus Provides visual insights with charts Check out the project on GitHub: https://lnkd.in/dymhkZ63 I also made a short video demo of the project running in Google Colab to show it in action. This project is perfect for students and anyone looking to organize their study schedule efficiently. #MachineLearning #Python #AI #StudyPlanner #DataScience #GitHub

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

🚀 The Ultimate Python Dictionary Cheat Sheet! If you’re learning Python or diving into data science — mastering dictionaries is a must. From creating, accessing, and updating key-value pairs to looping, copying, and nesting — this guide has it all in one place. 📘 What’s inside: ✅ Real-world code examples ✅ Step-by-step explanation of each method ✅ Visual clarity for quick learning ✅ Beginner-friendly yet industry-relevant This one’s your go-to reference for handling data smartly in Python 🔥 💡 Follow for more hands-on AI/ML and Python learning resources. #Python #DataScience #MachineLearning #Coding #CheatSheet #AI #Programming #Developers #IntensityCoding