NumPy Tutorial in Hindi | Data Types, Array Operations & Slicing | Lecture 3

Welcome to NumPy Lecture 3! 🚀 In this lecture, we will learn important NumPy concepts with practical Python examples and real-world case studies. 📚 *Topics Covered:* NumPy Data Types: int, float, and bool Understanding `dtype` Type Conversion using `astype()` NumPy Array Arithmetic Operations Creating Arrays using `zeros()`, `ones()`, and `full()` Generating Values using `arange()` and `linspace()` Array Dimensions: `ndim`, `shape`, and `size` Reshaping Arrays using `reshape()` NumPy Array Slicing Basic Slicing Practice Questions Real-World Business Case Studies 💻 *Who Should Watch This Video?* Python Beginners Data Analysis Learners Aspiring Data Scientists AI & Machine Learning Beginners Practice the coding questions, run the examples yourself, and strengthen your NumPy fundamentals. 👍 Like the video, share it with your friends, and subscribe for more Python, NumPy, SQL, Data Analysis, and AI/ML tutorials. 💬 Comment below: Which NumPy concept do you find most interesting? #NumPy #PythonTutorial #DataAnalysis #MachineLearning #PythonHindi