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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 | 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 |