NumPy 2D Arrays, Indexing & Reshaping Explained in Tamil | Python Tamil | S3 E05

🚀 Welcome to Episode 5 of our NumPy Series! In this Episode, we dive deep into 2D Matrices in NumPy and understand how indexing & slicing work in real-world scenarios. 📌 What you'll learn in this video: ✅ Understanding 1D, 2D & 3D Arrays ✅ Creating 2D Arrays using np.array() ✅ Working with .ndim and .shape ✅ Reshaping Arrays using .reshape() ✅ Using -1 in reshape intelligently ✅ Indexing in 2D Arrays ✅ Negative Indexing ✅ Selecting multiple elements efficiently 🔥 If you're learning Python for Data Science, Machine Learning, or Analytics, mastering NumPy is a must! ⏱️ Timestamps 00:00 – Introduction 00:41 – Understanding Dimensions (1D, 2D, and 3D) 05:33 – Creating 2D Arrays using np.array() 06:56 – Creating 3D Arrays 08:37 – Reshaping Arrays with .reshape() 12:26 – Using -1 for Intelligent Reshaping 14:58 – Transposing Arrays 15:20 – 2D Array Indexing 21:11 – Accessing Specific Elements and Rows 📚 Previous Episodes: ▶️ Episode 1 – Python Modules - https://youtu.be/QSZeLzFn8-0 ▶️ Episode 2 – NumPy Basics - https://youtu.be/VhH0Wy3SMH4 ▶️ Episode 3 – Array Operations & Functions - https://youtu.be/QNIVapXagGM ▶️ Episode 3 – Fancy Indexing & Boolean Masking - https://youtu.be/a8bGx0BCgow 💡 Practice regularly to become strong in NumPy and Python. 🔔 Subscribe for more Python, NumPy, Pandas, SQL & Data Science content. #Python #NumPy #DataScience #PythonTutorial #MachineLearning #Coding #Programming #LearnPython #NumPyTutorial #PythonForBeginners