### Install `pydantic-settings`

First, make sure you create your [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install the `pydantic-settings` package:

<div class="termy">

```console
$ pip install pydantic-settings
---> 100%
```

</div>

It also comes included when you install the `all` extras with:

<div class="termy">

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...👈 🔌 `uvicorn`, 👈 👆 💪 ⚙️ 💽 👈 🏃 👆 📟.

/// note

👆 💪 ❎ ⚫️ 🍕 🍕.

👉 ⚫️❔ 👆 🔜 🎲 🕐 👆 💚 🛠️ 👆 🈸 🏭:

```
pip install "fastapi[standard]"
```

❎ `uvicorn` 👷 💽:

```
pip install "uvicorn[standard]"
```

 &amp; 🎏 🔠 📦 🔗 👈 👆 💚 ⚙️.

///

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...wliczając w to `uvicorn`, który będzie służył jako serwer wykonujacy Twój kod.

/// note

Możesz również wykonać instalację "krok po kroku".

Prawdopodobnie zechcesz to zrobić, kiedy będziesz wdrażać swoją aplikację w środowisku produkcyjnym:

```
pip install fastapi
```

### Install requirements using pip

After activating the environment, install the required packages:

<div class="termy">

```console
$ pip install -r requirements.txt

---> 100%
```

</div>

It will install all the dependencies and your local FastAPI in your local environment.

### Using your local FastAPI

            throws RepositoryMetadataDeploymentException;

    /**
     * Install the metadata in the local repository.
     *
     * @param metadata        the metadata
     * @param localRepository the local repository
     * @throws RepositoryMetadataInstallationException in case of metadata installation issue
     */
    void install(ArtifactMetadata metadata, ArtifactRepository localRepository)

#
# setup.python.sh: Install a specific Python version and packages for it.
# Usage: setup.python.sh <pyversion> <requirements.txt>

# Sets up custom apt sources for our TF images.

# Prevent apt install tzinfo from asking our location (assumes UTC)
export DEBIAN_FRONTEND=noninteractive

# Set up shared custom sources
apt-get update
apt-get install -y gnupg ca-certificates

/// info

To use forms, first install <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it, for example:

```console
$ pip install python-multipart
```

///

/// note

      with:
        version: "0.4.15"
        enable-cache: true
        cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
    - name: Install GitHub Actions dependencies
      run: uv pip install -r requirements-github-actions.txt
    - name: Label Approved
      run: python ./scripts/label_approved.py
      env:
        TOKEN: ${{ secrets.GITHUB_TOKEN }}
        CONFIG: >
          {

Changes to TensorFlow C++ code should conform to
[Google C++ Style Guide](https://google.github.io/styleguide/cppguide.html).

Use `clang-tidy` to check your C/C++ changes. To install `clang-tidy` on ubuntu:16.04, do:

```bash
apt-get install -y clang-tidy
```

You can check a C/C++ file by doing:


```bash
clang-format <my_cc_file> --style=google > /tmp/my_cc_file.cc
diff <my_cc_file> /tmp/my_cc_file.cc

     * @param deploymentRepository the repository to deploy to
     * @param localRepository the local repository to install into
     * @throws ArtifactDeploymentException if an error occurred deploying the artifact
     * @deprecated to be removed before 2.0 after the install/deploy plugins use the alternate
     *             method
     */
    @Deprecated
    void deploy(
            String basedir,