|
8 | 8 | <img width="128px" src="https://file.labex.io/path/gdqX0QgXsYjL.png"> |
9 | 9 | </div> |
10 | 10 |
|
11 | | -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. |
| 11 | +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. |
12 | 12 |
|
13 | 13 | | Index | Name | Difficulty | Repo | Practice | |
14 | 14 | |---------|---------------------------------------------------------------------------------|--------------|--------------------------------------------------------------------|--------------------------------------------------------------------| |
15 | | -| 1 | [Quick Start with NumPy](https://labex.io/courses/quick-start-with-numpy) | Beginner | [🔗 Repo](https://github.com/labex-labs/quick-start-with-numpy) | [🚀 Start Lab](https://labex.io/courses/quick-start-with-numpy) | |
16 | | -| 2 | [NumPy Practice Labs](https://labex.io/courses/numpy-practice-labs) | Beginner | [🔗 Repo](https://github.com/labex-labs/numpy-practice-labs) | [🚀 Start Lab](https://labex.io/courses/numpy-practice-labs) | |
17 | | -| 3 | [NumPy Practice Challenges](https://labex.io/courses/numpy-practice-challenges) | Beginner | [🔗 Repo](https://github.com/labex-labs/numpy-practice-challenges) | [🚀 Start Lab](https://labex.io/courses/numpy-practice-challenges) | |
18 | | -| 4 | [100 NumPy Exercises](https://labex.io/courses/100-numpy-exercises) | Intermediate | [🔗 Repo](https://github.com/labex-labs/100-numpy-exercises) | [🚀 Start Lab](https://labex.io/courses/100-numpy-exercises) | |
| 15 | +| 1 | [NumPy for Beginners](https://labex.io/courses/numpy-for-beginners) | Beginner | [🔗 Repo](https://github.com/labex-labs/numpy-for-beginners) | [🚀 Start Lab](https://labex.io/courses/numpy-for-beginners) | |
| 16 | +| 2 | [NumPy Practice Challenges](https://labex.io/courses/numpy-practice-challenges) | Beginner | [🔗 Repo](https://github.com/labex-labs/numpy-practice-challenges) | [🚀 Start Lab](https://labex.io/courses/numpy-practice-challenges) | |
| 17 | +| 3 | [100 NumPy Exercises](https://labex.io/courses/100-numpy-exercises) | Beginner | [🔗 Repo](https://github.com/labex-labs/100-numpy-exercises) | [🚀 Start Lab](https://labex.io/courses/100-numpy-exercises) | |
19 | 18 |
|
20 | 19 | ## More |
21 | 20 |
|
|
0 commit comments