https://github.com/labex-labs/quick-start-with-numpy
Quick Start with NumPy | This repo collects 15 of programming labs exercises for Quick Start with NumPy. This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
https://github.com/labex-labs/quick-start-with-numpy
List: quick-start-with-numpy
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Quick Start with NumPy | This repo collects 15 of programming labs exercises for Quick Start with NumPy. This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
- Host: GitHub
- URL: https://github.com/labex-labs/quick-start-with-numpy
- Owner: labex-labs
- Created: 2024-05-22T07:14:28.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2025-01-01T01:53:25.000Z (6 months ago)
- Last Synced: 2025-04-17T02:27:06.607Z (3 months ago)
- Topics: challenges, course, exercises, hands-on, labex, labs, numpy, playgroud, programming, python
- Homepage: https://labex.io/courses/quick-start-with-numpy
- Size: 15.6 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Quick Start with NumPy
[](https://labex.io/courses/quick-start-with-numpy)
[](https://labex.io/courses/quick-start-with-numpy)
This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.

## Environment
LabEx is an interactive, hands-on learning platform dedicated to coding and technology. It combines labs, AI assistance, and virtual machines to provide a no-video, practical learning experience.

- A strict βLearn by Doingβ approach with exclusive hands-on labs and no videos.
- Interactive online environments within the browser, with automated step-by-step checks.
- A structured content organization with the Skill Tree based learning system.
- A growing learning resource of 30 Skill Trees and over 6,000 Labs.
- The AI learning assistant Labby, built on ChatGPT, providing a conversational learning experience.Learn more about [LabEx VM](https://support.labex.io/using-labex/virtual-machine).
## Exercises
| Index | Name | Difficulty | Practice |
|---------|---------------------------------------------------|--------------|-------------------------------------------------------------------------------------------------------------------------------|
| 01 | π Your First NumPy Lab | β ββ | Start Lab |
| 02 | π Array Attributes and Dtype | β ββ | Start Lab |
| 03 | π NumPy Arrays and Data Types | β ββ | Start Lab |
| 04 | π― NumPy in Space | β ββ | Start Challenge |
| 05 | π― NumPy Array Datatype Converter | β ββ | Start Challenge |
| 06 | π NumPy Array Operations | β ββ | Start Lab |
| 07 | π― NumPy Array Operation | β ββ | Start Challenge |
| 08 | π NumPy Slicing and Indexing | β ββ | Start Lab |
| 09 | π― Array Indexing and Slicing | β β β | Start Challenge |
| 10 | π Efficient NumPy Array Multiplication Operations | β ββ | Start Lab |
| 11 | π NumPy Shape Manipulation | β ββ | Start Lab |
| 12 | π― Make NumPy Array Your Shape | β ββ | Start Challenge |
| 13 | π NumPy File IO | β ββ | Start Lab |
| 14 | π NumPy Advanced Topics | β ββ | Start Lab |
| 15 | π― NumPy Math Games | β ββ | Start Challenge |## More
- π [NumPy Programming Courses](https://github.com/labex-labs/awesome-programming-courses)
- π [NumPy Programming Projects](https://github.com/labex-labs/awesome-programming-projects)
- π [NumPy Free Tutorials](https://github.com/labex-labs/numpy-free-tutorials)