which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.

* `@app.patch()`
* `@app.trace()`

/// tip

You are free to use each operation (HTTP method) as you wish.

**FastAPI** doesn't enforce any specific meaning.

The information here is presented as a guideline, not a requirement.

For example, when using GraphQL you normally perform all the actions using only `POST` operations.

///

</div>

## Create a Virtual Environment { #create-a-virtual-environment }

When you start working on a Python project **for the first time**, create a virtual environment **<dfn title="there are other options, this is a simple guideline">inside your project</dfn>**.

/// tip

You only need to do this **once per project**, not every time you work.

///

//// tab | `venv`

All community leaders are obligated to respect the privacy and security of the
reporter of any incident.

## Enforcement Guidelines

Community leaders will follow these Community Impact Guidelines in determining
the consequences for any action they deem in violation of this Code of Conduct:

### 1. Correction

- Never change punctuation inside inline code, code blocks, URLs, or file paths.
- For more details, please follow the [Chinese Copywriting Guidelines](https://github.com/sparanoid/chinese-copywriting-guidelines).

### Ellipsis

- Keep ellipsis style consistent within each document, prefer `...` over `……`.
- Never change ellipsis in code, URLs, or CLI examples.

        -  The API may be available in the public Keras API under a different name, so make sure to look for it on keras.io or TensorFlow docs and switch to the public version.

# Contributing guidelines

## Pull Request Checklist

Before sending your pull requests, make sure you do the following:

-   Read the [contributing guidelines](CONTRIBUTING.md).
-   Read the [Code of Conduct](CODE_OF_CONDUCT.md).
-   Ensure you have signed the
    [Contributor License Agreement (CLA)](https://cla.developers.google.com/).
-   Check if your changes are consistent with the

# MinIO Pull Request Guidelines

These guidelines ensure high-quality commits in MinIO’s GitHub repositories, maintaining 
a clear, valuable commit history for our open-source projects. They apply to all contributors, 
fostering efficient reviews and robust code.

## Why Pull Requests?

Pull Requests (PRs) drive quality in MinIO’s codebase by:
- Enabling peer review without pair programming.
- Documenting changes for future reference.

>>> hello.numpy()
b'Hello, TensorFlow!'
```

For more examples, see the
[TensorFlow Tutorials](https://www.tensorflow.org/tutorials/).

## Contribution guidelines

**If you want to contribute to TensorFlow, be sure to review the
[Contribution Guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's
[Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to
uphold this code.**

======================

You have found a bug or you have an idea for a cool new feature? Contributing
code is a great way to give something back to the open source community. Before
you dig right into the code, there are a few guidelines that we need
contributors to follow so that we can have a chance of keeping on top of
things.

Some of the ideas are documented in the [Maven Wiki][maven-wiki]
which might be interesting to read and for further discussion.