https://github.com/aquadzn/learn-x-by-doing-y

🛠️ Learn a technology X by doing a project - Search engine of project-based learning
https://github.com/aquadzn/learn-x-by-doing-y

List: learn-x-by-doing-y

algolia awesome-list begineer learning programming project project-based-learning tutorial

Last synced: 7 days ago
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🛠️ Learn a technology X by doing a project - Search engine of project-based learning

• Host: GitHub
• URL: https://github.com/aquadzn/learn-x-by-doing-y
• Owner: aquadzn
• License: mit
• Created: 2021-01-03T16:15:20.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-07-18T03:20:25.000Z (5 months ago)
• Last Synced: 2024-10-29T18:07:52.454Z (about 1 month ago)
• Topics: algolia, awesome-list, begineer, learning, programming, project, project-based-learning, tutorial
• Language: Python
• Homepage: https://aquadzn.github.io/learn-x-by-doing-y/
• Size: 515 KB
• Stars: 1,409
• Watchers: 19
• Forks: 123
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

• my-awesome - aquadzn/learn-x-by-doing-y - list,begineer,learning,programming,project,project-based-learning,tutorial pushed_at:2024-07 star:1.4k fork:0.1k 🛠️ Learn a technology X by doing a project - Search engine of project-based learning (Python)

README

        
# Learn X by doing Y

## 🛠️ Learn a technology X by doing a project Y

![img](docs/preview.png)

#### [Website](https://aquadzn.github.io/learn-x-by-doing-y)

You can contribute by adding projects to the CSV file. See [CONTRIBUTING.md](CONTRIBUTING.md).

Thanks to

* [tuvtran/project-based-learning](https://github.com/tuvtran/project-based-learning)

* [Xtremilicious/projectlearn-project-based-learning](https://github.com/Xtremilicious/projectlearn-project-based-learning)

* [rby90/Project-Based-Tutorials-in-C](https://github.com/rby90/Project-Based-Tutorials-in-C)

* [danistefanovic/build-your-own-x](https://github.com/danistefanovic/build-your-own-x)

* [AlgoryL/Projects-from-Scratch](https://github.com/AlgoryL/Projects-from-Scratch)

for their data.