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NumPy is the foundation of scientific computing in Python. This Skill Tree provides a systematic way to learn NumPy. Ideal for data science beginners, it offers a structured learning path to master array operations, broadcasting, and numerical algorithms. Hands - on, non - video courses and practical exercises in a numerical analysis playground help you develop real - world skills in efficient data manipulation and computation.
| Index | Name | Difficulty | Practice |
|---|---|---|---|
| 1 | ASCII Art Animation With OpenCV | Beginner | 🚀 Start Lab |
| 2 | Gravitational Simulation of Earth and Super Jupiter | Beginner | 🚀 Start Lab |
| 3 | K-Nearest Neighbors Regression Algorithm Implementation | Beginner | 🚀 Start Lab |
| 4 | Implementing Minkowski Distance Metric | Beginner | 🚀 Start Lab |
| 5 | Implementation of Polynomial Regression | Beginner | 🚀 Start Lab |
| 6 | Simple Handwritten Character Recognition Classifier | Beginner | 🚀 Start Lab |