can then be passed to Helm using a values file or the `--set` parameter: ``` 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 - - `buckets[].name` - name of the bucket to create,...

can then be passed to Helm using a values file or the `--set` parameter: ``` 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 - - `buckets[].name` - name of the bucket to create,...

secret can then be passed to Helm using a values file or the `--set` parameter: ``` 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 - - `buckets[].name` - name of the bucket to create,...

## Install dependencies { #install-dependencies }

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and install `jinja2`:

<div class="termy">

```console
$ pip install jinja2

---> 100%
```

</div>

## Using `Jinja2Templates` { #using-jinja2templates }

# TensorFlow C API

- See [www.tensorflow.org/install/lang_c](https://www.tensorflow.org/install/lang_c)
- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

the developer identity, the device might also remove the permission to run apps from
that developer, and the exec wrapper will fail to install the new app. To avoid that,
install another app with the same developer identity but with a different bundle id.
That way, the permission to install apps is held on to while the primary app is

```gitignore
*
```

///

## Install Packages { #install-packages }

After activating the environment, you can install packages in it.

/// tip

Do this **once** when installing or upgrading the packages your project needs.

If you need to upgrade a version or add a new package you would **do this again**.

///

### Install Packages Directly { #install-packages-directly }

  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip
wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools


# For Python 3.13t, do not install twine as it does not have pre-built wheels

	<property name="maven.snapshot.repo.url" value="https://central.sonatype.com/repository/maven-snapshots" />
	<property name="maven.release.repo.url" value="https://repo1.maven.org/maven2" />

	<target name="install.jars">
		<mkdir dir="${target.dir}" />
		<delete dir="${webinf.dir}/lib" />
		<mkdir dir="${webinf.dir}/lib" />
		<delete dir="${crawler.dir}/lib" />
		<mkdir dir="${crawler.dir}/lib" />

### Installing xl-meta

To install, [Go](https://golang.org/dl/) must be installed. Once installed, execute this to install the binary:

```bash
go install github.com/minio/minio/docs/debugging/xl-meta@latest
```

### Using xl-meta