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Learn NumPy, the foundation of scientific computing in Python, with a structured learning path designed for beginners. This collection of hands-on NumPy courses provides a systematic way to master array operations, broadcasting, and numerical algorithms. Through practical exercises in a numerical analysis playground, develop real-world skills in efficient data manipulation and computation. This roadmap is ideal for anyone starting their journey in data science.
| Index | Name | Difficulty | Tutorial Link |
|---|---|---|---|
| 01 | 📖 NumPy Einsum for Scientific Computing | Beginner | 🔗 View |
| 02 | 📖 NumPy Einsum Function | Beginner | 🔗 View |
| 03 | 📖 NumPy Math Games | Beginner | 🔗 View |
| 04 | 📖 NumPy Array Creation | Beginner | 🔗 View |
| 05 | 📖 NumPy Indexing on ndarrays | Beginner | 🔗 View |
| 06 | 📖 NumPy IO Genfromtxt | Beginner | 🔗 View |
| 07 | 📖 NumPy Data Types | Beginner | 🔗 View |
| 08 | 📖 NumPy Broadcasting | Beginner | 🔗 View |
| 09 | 📖 NumPy Copies and Views | Beginner | 🔗 View |
| 10 | 📖 NumPy Structured Arrays | Beginner | 🔗 View |
| 11 | 📖 NumPy Universal Functions | Beginner | 🔗 View |