```
trustedCertsSecret: "minio-trusted-certs"

or

--set trustedCertsSecret=minio-trusted-certs
```

### Create buckets after install

Install the chart, specifying the buckets you want to create after install:

```bash
helm install --set buckets[0].name=bucket1,buckets[0].policy=none,buckets[0].purge=false minio/minio
```

Description of the configuration parameters used above -

---

## Install FastAPI { #install-fastapi }

The first step is to install FastAPI.

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and then **install FastAPI**:

<div class="termy">

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

---> 100%
```

</div>

/// note

    "$python" -m pip install numpy==1.26.4
  else
    "$python" -m pip install numpy==1.26.0
  fi
fi
if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then
  echo "Checking to make sure tensorflow[and-cuda] is installable..."
  "$python" -m pip install "$(echo *.whl)[and-cuda]" $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
else
  "$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
fi

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

## `fastapi-slim`

⚠️ Do not install this package. ⚠️

This package, `fastapi-slim`, does nothing other than depend on `fastapi`.

All the functionality has been integrated into `fastapi`.

The only reason this package exists is as a migration path for old projects that used to depend on `fastapi-slim`, so that they can get the latest version of `fastapi`.

You **should not** install this package.

Install instead:

RUN Add-Content -Path C:\tools\msys64\etc\pacman.d\mirrorlist.msys -Value 'SigLevel = Never'

# Install pacman packages.
RUN C:\tools\msys64\usr\bin\bash.exe -lc \
  'pacman --noconfirm -Syy curl git patch vim unzip zip'

# Install multiple Pythons, but only add one of them to PATH.
RUN function Install-Python { \
        param( \
            [string]$version, \
            [int]$prependPath \
        ) \

            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: uv sync --no-dev --group tests --extra all
      - name: Ensure that we have the lowest supported Pydantic version
        if: matrix.uv-resolution == 'lowest-direct'
        run: uv pip install "pydantic==2.9.0"
      - name: Install Starlette from source
        if: matrix.starlette-src == 'starlette-git'

    tar zxf - google-cloud-sdk && \
    google-cloud-sdk/install.sh --quiet && \
    ln -s /google-cloud-sdk/bin/gcloud /usr/bin/gcloud
ENV PATH="$PATH:/google-cloud-sdk/bin/:/usr/local/cuda/bin/"

# Download and install patchelf v0.18.0 from GitHub. The default Ubuntu focal
# packages only provide the "0.10-2build1" version. We use patchelf to manipulate

1. [Install MinIO Server](#install-minio-server)
2. [Use an Existing Key and Certificate with MinIO](#use-an-existing-key-and-certificate-with-minio)
3. [Generate and use Self-signed Keys and Certificates with MinIO](#generate-use-self-signed-keys-certificates)
4. [Install Certificates from Third-party CAs](#install-certificates-from-third-party-cas)

## 1. Install MinIO Server

## Install `PyJWT` { #install-pyjwt }

We need to install `PyJWT` to generate and verify the JWT tokens in Python.

Make sure you create a [virtual environment](../../virtual-environments.md), activate it, and then install `pyjwt`:

<div class="termy">

```console
$ pip install pyjwt

---> 100%
```

</div>

/// info