๐จ๐ณ ็ฎไฝไธญๆ ๐ฏ๐ต ๆฅๆฌ่ช ๐ช๐ธ Espaรฑol ๐ซ๐ท Franรงais ๐ฉ๐ช Deutsch ๐ท๐บ ะ ัััะบะธะน ๐ฐ๐ท ํ๊ตญ์ด ๐ง๐ท Portuguรชs ๐บ๐ธ English
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 | Repo | Practice |
|---|---|---|---|---|
| 1 | Quick Start with NumPy | Beginner | ๐ Repo | ๐ Start Lab |
| 2 | NumPy Practice Labs | Beginner | ๐ Repo | ๐ Start Lab |
| 3 | NumPy Practice Challenges | Beginner | ๐ Repo | ๐ Start Lab |
| 4 | 100 NumPy Exercises | Intermediate | ๐ Repo | ๐ Start Lab |
