- **Contribution Guide**: [Contribute](https://github.com/gradle/gradle/blob/master/CONTRIBUTING.md) to Gradle by submitting patches or pull requests for code or documentation improvements.
- **Code of Conduct**: Gradle enforces a [Code of Conduct](https://gradle.org/conduct/) to ensure a welcoming and supportive community for all contributors.

---

### 🔗 **Additional Resources**

To make the most out of Gradle, take advantage of these additional resources:

### Follow the Code of Conduct

Contributors must follow the Code of Conduct outlined at [https://gradle.org/conduct/](https://gradle.org/conduct/).

### Additional help

If you run into any trouble, please reach out to us on the issue you are working on.

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)

Cette combinaison de Flask, Flask-apispec avec Marshmallow et Webargs était ma stack backend préférée jusqu'à la création de **FastAPI**.

Son utilisation a conduit à la création de plusieurs générateurs Flask full-stack. Ce sont les principales stacks que
j'ai (ainsi que plusieurs équipes externes) utilisées jusqu'à présent :