Azure Python example
Azure Python example
I'd be happy to help!
Here is an example of using Azure services with Python:
Azure Storage Blob
from azure.storage.blob import BlobServiceClient
Create a blob service client object
blob_service_client = BlobServiceClient.from_connection_string("DefaultEndpointsProtocol=https;AccountName=<account_name>;AccountKey=<account_key>;BlobEndpoint=<blob_endpoint>")
Get a reference to the container
container_client = blob_service_client.get_container_client("mycontainer")
List all blobs in the container
blobs = list(container_client.list_blobs())
for blob in blobs:
print(blob.name)
Download a specific blob
blob_client = container_client.get_blob_client("myblob")
data = blob_client.download_blob().content_as_text()
print(data)
Azure Cognitive Search
from azure.cognitiveservices.search.services import SearchServiceClient
Create a search client object
search_service_client = SearchServiceClient.from_connection_string("https://<service_name>.search.windows.net;Key=<api_key>")
Perform a search query
results = search_service_client.Documents.query({"query": "mysearchquery"})
for result in results:
print(result.DocumentID)
Create an index
index_client = search_service_client.Indexes.create("myindex", {"fields": ["myfield1", "myfield2"]})
Azure Cosmos DB
from azure.cosmos import CosmosClient
Create a cosmos client object
cosmos_client = CosmosClient("<account_name>", "<account_key>")
Get a reference to the database and container
database_name = "mydatabase"
container_name = "mycontainer"
database = cosmos_client.get_database_client(database_name)
container = database.get_container_client(container_name)
Create a document
document = {"id": 1, "name": "John"}
container.create_item(document)
Query for documents with name matching "John"
query = "SELECT * FROM mycontainer WHERE name = 'John'"
results = list(container.query_items(query, enable_cross_partition_query=True))
for result in results:
print(result)
Azure Function
import logging
from azure.functions import *
@app.function(
name="myfunction",
methods=["POST"],
auth_level=AUTH_LEVEL.ANY,
)
def main(req: func.HttpRequest) -> func.HttpResponse:
Get the request body as JSON
req_body = req.get_json(silent=False)
logging.info(req_body)
Perform some processing on the request body
result = {"processed_data": "myprocesseddata"}
Return a response with the processed data
return func.HttpResponse(result, status_code=200)
These are just a few examples of using Azure services with Python. There are many more services and features available in Azure, so I hope this gives you a good starting point for exploring what's possible!
Python Azure package
I'm happy to help!
The Python Azure package you're referring to is likely the Azure SDK for Python, which provides a set of libraries and tools that enable developers to create applications that interact with various Azure services, such as storage, compute, networking, and more.
Here are some key features and capabilities of the Azure SDK for Python:
Azure Storage: The Azure SDK for Python provides a Pythonic interface for working with Azure Blob Storage, File Storage, Queue Storage, and Table Storage. You can use this package to upload, download, list, and manage your files and blobs in Azure. Azure Compute: This package allows you to interact with Azure Virtual Machines (VMs), Functions, and Containers. You can create, configure, start, stop, and manage your VMs, as well as deploy and manage container-based applications on Azure. Azure Networking: The Azure SDK for Python provides a set of libraries for working with Azure networking services, including Azure Load Balancer, Azure Application Gateway, and Azure DNS. You can use this package to create, configure, and manage your network resources in Azure. Azure Active Directory (AAD): This package allows you to interact with AAD, which provides identity and access management capabilities for Azure-based applications. You can use this package to authenticate and authorize users, as well as manage roles and permissions for Azure services. Azure Identity: The Azure SDK for Python also includes a set of libraries for working with Azure identity and authentication. You can use this package to authenticate your application using various identity providers, such as AAD, Azure Active Directory B2C (AAD B2C), and more.Some notable packages within the Azure SDK for Python include:
azure-storage-blob
: This package provides a Pythonic interface for working with Azure Blob Storage. azure-mgmt-compute
: This package allows you to interact with Azure Compute services, including Virtual Machines and Functions. azure-mgmt-network
: This package provides a set of libraries for working with Azure Networking services, such as Load Balancer and Application Gateway. azure-identity
: This package includes a set of libraries for working with Azure identity and authentication.
To get started with the Azure SDK for Python, you can install the required packages using pip:
pip install azure-storage-blob
pip install azure-mgmt-compute
pip install azure-mgmt-network
pip install azure-identity
After installation, you can import the necessary packages and begin interacting with your Azure resources. For example, to upload a file to Blob Storage using the azure-storage-blob
package, you might use code like this:
from azure.storage.blob import BlobServiceClient
blob_service_client = BlobServiceClient("https://yourstorageaccount.blob.core.windows.net/", credential=DefaultAzureCredential())
blob_client = blob_service_client.get_blob_client("my-container", "my-file.txt")
with open("path/to/local/file.txt", "rb") as file:
blob_client.upload_blob(file, overwrite=True)
I hope this helps! Let me know if you have any further questions.