🇨🇳 简体中文 🇯🇵 日本語 🇪🇸 Español 🇫🇷 Français 🇩🇪 Deutsch 🇷🇺 Русский 🇰🇷 한국어 🇧🇷 Português 🇺🇸 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 | 🔗 Repo | 🚀 Start Lab |
2 | NumPy Practice Labs | Beginner | 🔗 Repo | 🚀 Start Lab |
3 | NumPy Practice Challenges | Beginner | 🔗 Repo | 🚀 Start Lab |
4 | 100 NumPy Exercises | Intermediate | 🔗 Repo | 🚀 Start Lab |