### Install the azure-messaging-webpubsubclient package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/messaging-webpubsubclient-readme.md

Install the client library using pip.

```bash
pip install azure-messaging-webpubsubclient
```

--------------------------------

### Install Azure SDK Packages

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-planetarycomputer-readme.md

Install the Planetary Computer management client and the identity library using pip. Ensure Python 3.9+ is installed.

```bash
pip install azure-mgmt-planetarycomputer
pip install azure-identity
```

--------------------------------

### Install SDK and Dependencies

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-contentunderstanding-readme.md

Installs the Azure AI Content Understanding SDK and development dependencies. Ensure you have pip installed.

```bash
pip install azure-ai-contentunderstanding  # Install SDK if you haven't installed it in the previous step
pip install -r dev_requirements.txt  # Includes aiohttp, pytest, python-dotenv, azure-identity
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/schemaregistry-readme.md

Install the Azure Schema Registry client library for Python using pip.

```Bash
pip install azure-schemaregistry
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-workloadssapvirtualinstance-readme.md

Install the Workloadssapvirtualinstance management client library and the Azure identity library using pip.

```bash
pip install azure-mgmt-workloadssapvirtualinstance
pip install azure-identity
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/eventhub-checkpointstoreblob-readme.md

Install the azure-eventhub-checkpointstoreblob package using pip.

```bash
pip install azure-eventhub-checkpointstoreblob
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/servicebus-readme.md

Install the Azure Service Bus client library for Python using pip.

```Bash
pip install azure-servicebus
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/communication-rooms-readme.md

Install the Azure Communication Rooms client library for Python using pip.

```bash
python -m pip install azure-communication-rooms
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-documentintelligence-readme.md

Install the azure-ai-documentintelligence package using pip.

```bash
python -m pip install azure-ai-documentintelligence
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/monitor-query-readme.md

Install the Azure Monitor Query client library for Python using pip.

```bash
pip install azure-monitor-query
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/messaging-webpubsubservice-readme.md

Install the Azure Web PubSub service client library for Python using pip.

```bash
python -m pip install azure-messaging-webpubsubservice
```

--------------------------------

### Install the Azure Communication JobRouter client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/communication-jobrouter-readme.md

Install the library using pip.

```bash
pip install azure-communication-jobrouter
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-contentunderstanding-readme.md

Install the client library for Python with pip. Python 3.9 or later is required.

```bash
python -m pip install azure-ai-contentunderstanding
```

--------------------------------

### Install Azure Planetary Computer SDK

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/planetarycomputer-readme.md

Install the azure-planetarycomputer package using pip.

```bash
python -m pip install azure-planetarycomputer
```

--------------------------------

### Install azure-postgresql-auth

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/postgresql-auth-readme.md

Install the core package for Azure PostgreSQL authentication.

```bash
pip install azure-postgresql-auth
```

--------------------------------

### Install the package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/eventhub-checkpointstoreblob-aio-readme.md

Install the asynchronous Event Hubs Checkpoint Store Blob package using pip.

```bash
$ pip install azure-eventhub-checkpointstoreblob-aio
```

--------------------------------

### Install Azure Scheduler SDK

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/scheduler.md

Install the Azure Scheduler management library using pip.

```bash
pip install azure-mgmt-scheduler
```

--------------------------------

### Install Azure Reservations SDK

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-reservations-readme.md

Install the necessary packages for the Azure Reservations client library and identity management.

```bash
pip install azure-mgmt-reservations
pip install azure-identity
```

--------------------------------

### Install with psycopg3 extras

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/postgresql-auth-readme.md

Install the package with support for the psycopg3 driver, recommended for new projects.

```bash
pip install "azure-postgresql-auth[psycopg3]"
```

--------------------------------

### Install azure-identity-broker

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/identity-broker-readme.md

Install the Azure Identity Broker plugin for Python using pip.

```bash
pip install azure-identity-broker
```

--------------------------------

### Install Azure Blob Storage Client Library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/storage.md

Installs the azure-storage-blob package using pip.

```bash
pip install azure-storage-blob
```

--------------------------------

### Install the Azure AI Content Safety library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-contentsafety-readme.md

Install the package using pip.

```bash
pip install azure-ai-contentsafety
```

--------------------------------

### Install Azure Resource Management Libraries

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/resources.md

Install the necessary Azure SDK libraries for resource management and authentication.

```bash
pip install azure-mgmt-resource
pip install azure-identity
```

--------------------------------

### Install the Azure Schema Registry Avro Encoder client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/schemaregistry-avroencoder-readme.md

Install the package using pip.

```Bash
pip install azure-schemaregistry-avroencoder
```

--------------------------------

### Install Azure Site Manager SDK

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-sitemanager-readme.md

Install the necessary packages for the Azure Site Manager SDK and authentication.

```bash
pip install azure-mgmt-sitemanager
pip install azure-identity
```

--------------------------------

### Install Storagemover Management Package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-storagemover-readme.md

Install the necessary packages for the Storagemover Management client library and Azure identity.

```bash
pip install azure-mgmt-storagemover
pip install azure-identity
```

--------------------------------

### Get a secret

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/keyvault-secrets-readme.md

Retrieves a secret from the Key Vault. This example demonstrates handling a ResourceNotFoundError if the secret does not exist.

```APIDOC
## Get a secret

### Description
Retrieves a secret from the Key Vault. This example demonstrates handling a `ResourceNotFoundError` if the secret does not exist.

### Method
`get_secret`

### Parameters
- **secret_name** (str) - The name of the secret to retrieve.

### Request Example
```python
from azure.identity import DefaultAzureCredential
from azure.keyvault.secrets import SecretClient
from azure.core.exceptions import ResourceNotFoundError

credential = DefaultAzureCredential()
secret_client = SecretClient(vault_url="https://my-key-vault.vault.azure.net/", credential=credential)

try:
    secret_client.get_secret("which-does-not-exist")
except ResourceNotFoundError as e:
    print(e.message)
```

### Response
#### Success Response (200)
Returns the secret object if found.

#### Error Response
- **ResourceNotFoundError**: Raised if the secret does not exist in the vault.

#### Response Example (Success)
```python
# If secret exists, this would print secret details
# print(secret.name)
# print(secret.value)
```

#### Response Example (Error)
```python
# Output from the error handling example
Message indicating the resource was not found.
```
```

--------------------------------

### Set up virtual environment for running samples

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-contentunderstanding-readme.md

This bash script demonstrates how to set up a Python virtual environment for running the Content Understanding SDK samples. It includes navigating to the package directory, creating a virtual environment, and activating it for both Linux/macOS and Windows.

```bash
# 1. Navigate to package directory
cd sdk/contentunderstanding/azure-ai-contentunderstanding

# 2. Create virtual environment (only needed once)
python -m venv .venv

# 3. Activate virtual environment
source .venv/bin/activate  # On Linux/macOS
# .venv\Scripts\activate  # On Windows
```

--------------------------------

### Load Configuration with Startup Timeout

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/appconfiguration-provider-readme.md

Illustrates how to configure a custom startup timeout for the provider. This example sets the timeout to 200 seconds, overriding the default 100 seconds.

```python
from azure.appconfiguration.provider import load

config = load(endpoint=endpoint, credential=credential, startup_timeout=200, **kwargs)
```

--------------------------------

### Query logs with a specified timespan

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/monitor-query-readme.md

This example shows how to query logs from a Log Analytics workspace and specifies the time range for the query using a start and end datetime.

```APIDOC
## query_workspace with timespan

### Description
Queries logs from a Log Analytics workspace with a specified time range.

### Method
client.query_workspace

### Parameters
#### Path Parameters
- **workspace_id** (str) - Required - The ID of the Log Analytics workspace.
- **query** (str) - Required - The query to execute.
- **timespan** (tuple) - Required - A tuple containing the start and end datetime objects for the query.

### Request Example
```python
import os
import pandas as pd
from datetime import datetime, timezone
from azure.monitor.query import LogsQueryClient, LogsQueryResult
from azure.identity import DefaultAzureCredential
from azure.core.exceptions import HttpResponseError

credential = DefaultAzureCredential()
client = LogsQueryClient(credential)

query = """AppRequests | take 5"""

start_time=datetime(2021, 7, 2, tzinfo=timezone.utc)
end_time=datetime(2021, 7, 4, tzinfo=timezone.utc)

try:
    response = client.query_workspace(
        workspace_id=os.environ['LOG_WORKSPACE_ID'],
        query=query,
        timespan=(start_time, end_time)
        )
    if response.status == LogsQueryStatus.SUCCESS:
        data = response.tables
    else:
        # LogsQueryPartialResult
        error = response.partial_error
        data = response.partial_data
        print(error)

    for table in data:
        df = pd.DataFrame(data=table.rows, columns=table.columns)
        print(df)
except HttpResponseError as err:
    print("something fatal happened")
    print(err)
```

### Response
#### Success Response (LogsQuerySuccess)
- **status** (LogsQueryStatus) - The status of the query.
- **tables** (list) - A list of tables containing the query results.

#### Partial Success Response (LogsQueryPartialResult)
- **status** (LogsQueryStatus) - The status of the query.
- **partial_error** (Exception) - The error encountered during the query.
- **partial_data** (list) - The partial data returned before the error occurred.

#### Response Example
```json
{
  "status": "LogsQueryStatus.SUCCESS",
  "tables": [
    {
      "rows": [
        [ "value1", "value2" ]
      ],
      "columns": [
        "Column1",
        "Column2"
      ]
    }
  ]
}
```
```

--------------------------------

### Install Containerservicefleet and Identity Packages

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-containerservicefleet-readme.md

Install the necessary Python packages for Containerservicefleet management and identity authentication.

```bash
pip install azure-mgmt-containerservicefleet
pip install azure-identity
```

--------------------------------

### Get relay configuration with nearest route type

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/communication-networktraversal-readme.md

Obtain relay configuration for a specific user, prioritizing the nearest route type. This example demonstrates setting the `route_type` parameter to `RouteType.NEAREST`.

```python
# We need a user from Identity
user = identity_client.create_user()
relay_configuration = relay_client.get_relay_configuration(user=user, route_type=RouteType.NEAREST)

for iceServer in config.ice_servers:
    assert iceServer.username is not None
    print('Username: ' + iceServer.username)

    assert iceServer.credential is not None
    print('Credential: ' + iceServer.credential)
    
    assert iceServer.urls is not None
    for url in iceServer.urls:
        print('Url:' + url)
```

--------------------------------

### Create a chat thread with participants and idempotency token

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/communication-chat-readme.md

This example demonstrates creating a chat thread with specified participants and an idempotency token for request uniqueness. It includes setup for `CommunicationIdentityClient` and `ChatClient`.

```python
# With idempotency_token and thread_participants
from azure.communication.identity import CommunicationIdentityClient
from azure.communication.chat import ChatParticipant, ChatClient, CommunicationTokenCredential
import uuid
from datetime import datetime

# create an user
identity_client = CommunicationIdentityClient.from_connection_string('<connection_string>')
user = identity_client.create_user()

# user access tokens
tokenresponse = identity_client.get_token(user, scopes=["chat"])
token = tokenresponse.token

## OR pass existing user
# from azure.communication.chat import CommunicationUserIdentifier
# user_id = 'some_user_id'
# user = CommunicationUserIdentifier(user_id)

# create the chat_client
endpoint = "https://<RESOURCE_NAME>.communcationservices.azure.com"
chat_client = ChatClient(endpoint, CommunicationTokenCredential(token))

# modify function to implement customer logic
def get_unique_identifier_for_request(**kwargs):
    res = uuid.uuid4()
    return res

topic = "test topic"
thread_participants = [ChatParticipant(
    identifier=user,
    display_name='name',
    share_history_time=datetime.utcnow()
)]

# obtains idempotency_token using some customer logic
idempotency_token = get_unique_identifier_for_request()

create_chat_thread_result = chat_client.create_chat_thread(
    topic,
    thread_participants=thread_participants,
    idempotency_token=idempotency_token)
thread_id = create_chat_thread_result.chat_thread.id

# fetch ChatThreadClient
chat_thread_client = chat_client.get_chat_thread_client(create_chat_thread_result.chat_thread.id)

# Additionally, you can also check if all participants were successfully added or not
```

--------------------------------

### Manually instrumenting an application with OpenTelemetry

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/monitor-opentelemetry-readme.md

This example demonstrates how to manually instrument an application using OpenTelemetry, which can be useful if you need to add support for instrumentations not bundled with the Azure Monitor distro. Ensure you have the necessary OpenTelemetry libraries installed.

```python
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter

# Set up TracerProvider
tracer_provider = TracerProvider()

# Set up Azure Monitor exporter
exporter = AzureMonitorTraceExporter(connection_string="<YOUR_CONNECTION_STRING>")
tracer_provider.add_span_processor(BatchSpanProcessor(exporter))

# Set the global TracerProvider
trace.set_tracer_provider(tracer_provider)

# Get a tracer
tracer = trace.get_tracer(__name__)

# Example usage: create a span
with tracer.start_as_current_span("sample_span"):
    print("Hello, World!")

```

--------------------------------

### Run Sync Samples

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-contentunderstanding-readme.md

Navigate to the samples directory and run sync samples using Python. Ensure your virtual environment is activated.

```bash
# Make sure virtual environment is activated
source .venv/bin/activate      # Linux/macOS
# .venv\Scripts\activate       # Windows

# Navigate to samples directory
cd samples

# Run sync samples
python sample_analyze_url.py
python sample_analyze_binary.py
```

--------------------------------

### Install Azure Batch Management Package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-batch-readme.md

Install the azure-mgmt-batch and azure-identity packages using pip. Ensure Python 3.7+ is installed.

```bash
pip install azure-mgmt-batch
pip install azure-identity
```

--------------------------------

### Install Azure SDK Packages

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-mongocluster-readme.md

Install the necessary Azure SDK packages for Python using pip. Ensure Python 3.9+ is installed.

```bash
pip install azure-mgmt-mongocluster
pip install azure-identity
```

--------------------------------

### Install Azure Load Testing client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/developer-loadtesting-readme.md

Install the azure-developer-loadtesting package using pip. Ensure Python 3.7 or later is installed.

```bash
python -m pip install azure-developer-loadtesting
```

--------------------------------

### Install Azure Standbypool Management Package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-standbypool-readme.md

Install the necessary packages for Azure Standbypool management using pip. Ensure Python 3.9+ is installed.

```bash
pip install azure-mgmt-standbypool
pip install azure-identity
```

--------------------------------

### Install the Azure Communication Administration client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/communication-administration-readme-pre.md

Install the library using pip. This is a prerequisite for using the client library.

```bash
pip install azure-communication-administration
```

--------------------------------

### Install Azure Compute Management Package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-compute-readme.md

Install the necessary Azure SDK packages for Python Compute Management. Ensure Python 3.9+ is installed.

```bash
pip install azure-mgmt-compute
pip install azure-identity
```

--------------------------------

### Install Azure Management Front Door and Identity Packages

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-frontdoor-readme.md

Install the necessary Azure SDK packages for managing Front Door and handling authentication.

```bash
pip install azure-mgmt-frontdoor
pip install azure-identity
```

--------------------------------

### Install Azure ApiCenter Management SDK

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-apicenter-readme.md

Installs the necessary packages for Azure ApiCenter management using pip. Ensure Python 3.8+ is installed.

```bash
pip install azure-mgmt-apicenter
pip install azure-identity
```

--------------------------------

### Run Async Samples

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-contentunderstanding-readme.md

Navigate to the async_samples directory and run async samples using Python. Ensure your virtual environment is activated.

```bash
# Make sure virtual environment is activated
source .venv/bin/activate

# Navigate to async_samples directory
cd samples/async_samples
```

--------------------------------

### Install Azure Informaticadatamanagement Management Package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-informaticadatamanagement-readme.md

Install the necessary packages for managing Azure Informaticadatamanagement resources using Python. Ensure Python 3.8+ is installed.

```bash
pip install azure-mgmt-informaticadatamanagement
pip install azure-identity
```

--------------------------------

### Install Base Azure AI VoiceLive Client

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-voicelive-readme.md

Install the core client library for Azure AI VoiceLive.

```bash
python -m pip install azure-ai-voicelive
```

--------------------------------

### Install Connected VMware Management Package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-connectedvmware-readme.md

Install the necessary packages for managing Connected VMware resources using pip. Ensure Python 3.7+ is installed.

```bash
pip install azure-mgmt-connectedvmware
pip install azure-identity
```

--------------------------------

### Install Azure ML client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-ml-readme.md

Install the Azure ML client library for Python using pip. It is recommended to also install azure-identity for authentication.

```bash
pip install azure-ai-ml
pip install azure-identity
```

--------------------------------

### Install Azure SDK for Python Packages

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-purestorageblock-readme.md

Install the PureStorageBlock management client and the identity library using pip.

```bash
pip install azure-mgmt-purestorageblock
pip install azure-identity
```

--------------------------------

### Create a Batch Pool with Linux Nodes

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/batch.md

Example of setting up a pool of Linux compute nodes in a Batch account using the client library. Requires Batch account credentials and URL.

```python
import azure.batch
from azure.batch import batch_auth, BatchServiceClient, models

# create the batch client for an account using its URI and keys
creds = batch_auth.SharedKeyCredentials(account, key)
client = BatchServiceClient(creds, batch_url)

# Create the VirtualMachineConfiguration, specifying
# the VM image reference and the Batch node agent to
# be installed on the node.
vmc = models.VirtualMachineConfiguration(
    image_reference = models.ImageReference(
        publisher='Canonical',
        offer='UbuntuServer',
        sku='18.04-LTS'
        ),
    node_agent_sku_id = "batch.node.ubuntu 18.04")

# Assign the virtual machine configuration to the pool
new_pool = models.PoolAddParameter(
    id = 'new_pool',
    vm_size='standard_d2_v2',
    virtual_machine_configuration = vmc
)

# Create pool in the Batch service
client.pool.add(new_pool)
```

--------------------------------

### Install the Azure Monitor Query Metrics client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/monitor-querymetrics-readme.md

Install the library using pip. Ensure you have Python 3.9 or later.

```bash
pip install azure-monitor-querymetrics
```

--------------------------------

### Install Azure SDK for Python Packages

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-paloaltonetworksngfw-readme.md

Installs the Palo Alto Networks NGFW Management client library and the Azure Identity library. Ensure Python 3.7+ is installed.

```bash
pip install azure-mgmt-paloaltonetworksngfw
pip install azure-identity
```

--------------------------------

### Install Network Cloud Management Package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-networkcloud-readme.md

Install the Network Cloud Management client library and the Azure identity library using pip. Ensure Python 3.9+ is installed.

```bash
pip install azure-mgmt-networkcloud
pip install azure-identity
```

--------------------------------

### Install Azure Databricks Management Client

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-databricks-readme.md

Install the necessary packages for managing Azure Databricks resources using the Azure SDK for Python. Ensure Python 3.7+ is installed.

```bash
pip install azure-mgmt-databricks
pip install azure-identity
```

--------------------------------

### Run Chat Client Samples

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/communication-chat-readme.md

Executes synchronous and asynchronous chat client sample applications.

```bash
python samples\chat_client_sample.py
python samples\chat_client_sample_async.py
```

--------------------------------

### Initialize and Run Simulator

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-evaluation-readme.md

Initialize the `Simulator` with model configuration and run it with a target callback function and conversation turns. Outputs are saved to a JSONL file.

```python
from azure.ai.evaluation.simulator import Simulator
model_config = {
    "azure_endpoint": os.environ.get("AZURE_ENDPOINT"),
    "azure_deployment": os.environ.get("AZURE_DEPLOYMENT_NAME"),
    "api_version": os.environ.get("AZURE_API_VERSION"),
}
custom_simulator = Simulator(model_config=model_config)
outputs = asyncio.run(custom_simulator(
    target=callback,
    conversation_turns=[
        [
            "What should I know about the public gardens in the US?",
        ],
        [
            "How do I simulate data against LLMs",
        ],
    ],
    max_conversation_turns=2,
))
with open("simulator_output.jsonl", "w") as f:
    for output in outputs:
        f.write(output.to_eval_qr_json_lines())
```

--------------------------------

### Get Purchased Phone Number

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/communication-phonenumbers-readme.md

Gets the information from the specified phone number.

```APIDOC
## Get Purchased Phone Number

### Description
Gets the information from the specified phone number.

### Method
```python
phone_numbers_client.get_purchased_phone_number("<phone number>")
```

### Response Example
```python
result = phone_numbers_client.get_purchased_phone_number("<phone number>")
print(result.country_code)
print(result.phone_number)
```
```

--------------------------------

### Install Azure DataLake Storage client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/storage-file-datalake-readme.md

Install the Azure DataLake Storage client library for Python using pip. The --pre flag installs the latest pre-release version.

```bash
pip install azure-storage-file-datalake --pre
```

--------------------------------

### Create Cosmos Client with Account Key

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/cosmos-readme.md

Instantiate the CosmosClient using the account URI and primary master key retrieved from environment variables. Ensure ACCOUNT_URI and ACCOUNT_KEY are set.

```python
from azure.cosmos import CosmosClient

import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
```

--------------------------------

### Install Azure Arc Data Management and Azure Identity Packages

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-azurearcdata-readme.md

Install the necessary Python packages for Azure Arc Data Management and Azure Identity. Ensure you have Python 3.10+ installed.

```bash
pip install azure-mgmt-azurearcdata
pip install azure-identity
```

--------------------------------

### Install Azure AI VoiceLive with Voice Samples Support

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-voicelive-readme.md

Install the Azure AI VoiceLive client with aiohttp and PyAudio for voice samples. Ensure PyAudio dependencies are installed for your platform first.

```bash
python -m pip install azure-ai-voicelive[aiohttp] pyaudio python-dotenv
```

--------------------------------

### Install Azure SDK Packages

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-mysqlflexibleservers-readme.md

Install the necessary Azure SDK packages for managing MySQL Flexible Servers and for authentication.

```bash
pip install azure-mgmt-mysqlflexibleservers
pip install azure-identity
```

--------------------------------

### Install Azure Storage Management Library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/storage.md

Installs the azure-mgmt-storage package using pip.

```bash
pip install azure-mgmt-storage
```

--------------------------------

### Install with SQLAlchemy extras

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/postgresql-auth-readme.md

Install the package with support for SQLAlchemy for ORM/Core interface integration.

```bash
pip install "azure-postgresql-auth[sqlalchemy]"
```

--------------------------------

### Install Azure Data Lake Store Client Library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/data-lake-storage-(gen-1).md

Use this command to install the client library for interacting with Azure Data Lake Storage (Gen 1) data.

```bash
pip install azure-datalake-store
```

--------------------------------

### Install with psycopg2 extras

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/postgresql-auth-readme.md

Install the package with support for the psycopg2 driver for legacy projects.

```bash
pip install "azure-postgresql-auth[psycopg2]"
```

--------------------------------

### Install the Azure Storage Queues client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/storage-queue-readme.md

Install the Azure Storage Queues client library for Python using pip.

```bash
pip install azure-storage-queue
```

--------------------------------

### Install SCVMM Management Package

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/mgmt-scvmm-readme.md

Install the azure-mgmt-scvmm and azure-identity packages using pip.

```bash
pip install azure-mgmt-scvmm
pip install azure-identity
```

--------------------------------

### Install Azure App Configuration SDK

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/appconfiguration-readme.md

Install the Azure App Configuration client library for Python using pip.

```bash
pip install azure-appconfiguration
```

--------------------------------

### Install the Azure Monitor Ingestion client library

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/monitor-ingestion-readme.md

Install the library using pip. Ensure you have Python 3.9 or later.

```bash
pip install azure-monitor-ingestion
```

--------------------------------

### Create a New Project

Source: https://github.com/microsoftdocs/azure-docs-sdk-python/blob/main/docs-ref-services/latest/ai-language-questionanswering-readme.md

This snippet demonstrates the initialization of the AuthoringClient for managing Question Answering projects. It requires Azure endpoint and key.

```python
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.questionanswering.authoring import AuthoringClient
```