Complete Data Science Course for Beginners | Python NumPy Tutorial 2 Explained

🚀 Welcome to the Complete Data Science Course!

In this video, we dive deep into NumPy, the fundamental library for scientific computing in Python. If you want to become a Data Scientist or Machine Learning Engineer, mastering NumPy is the absolute first step!

We will move from the basics of arrays to advanced mathematical operations, explaining everything simply so beginners can understand easily.

📝 What you will learn in this video: ✅ What is NumPy and why use it over Lists? ✅ How to install and import NumPy. ✅ Creating 1D, 2D, and 3D Arrays. ✅ Array Indexing and Slicing. ✅ Shape manipulation (Reshape, Flatten). ✅ Basic Mathematical Operations using NumPy.

💻 Source Code & Notes: [Link to your GitHub or Drive containing the code]

⏳ Timestamps: 00:00 - Introduction 01:30 - What is NumPy? 03:45 - Installation & Setup 06:20 - Creating your first Array 12:10 - Indexing & Slicing Explained 18:00 - Mathematical Operations 24:00 - Conclusion & Next Steps

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