Python SDK for Azure Bootcamp

Learn how Azure authentication works in the Python SDK, comparing token-based authentication with connection strings, and see how tokens grant access to selective services.

Explore Azure authentication methods in the Python SDK, including the Azure CLI credential, Azure PowerShell credential, interactive browser, environment, and default credentials, plus Jupyter notebooks and VS Code guidance.

Discover how Azure resource groups organize cloud services as logical containers, supporting development lifecycles and access control, and learn to manage them with the Azure CLI and Python SDK.

Manage Azure resource groups using the Azure CLI by creating, updating, tagging, listing, showing, checking existence, and deleting resource groups with az group commands.

Learn to create and update Azure resource groups using the Python SDK and the resource management client, mirroring the Azure CLI create or update workflow in a notebook.

List all resource groups and retrieve a specific group using Python SDK for Azure and the resource management client. Practice in a Jupyter notebook and compare results with CLI commands.

Learn to delete resource groups with the Azure Python SDK by using the resource management client's begin delete method, handling asynchronous operations and waiting for completion.

Explore Azure storage, Microsoft's secure, scalable storage with blob, file shares, queues, and tables. Learn how each type, its Python SDK, and managed services support secure access, encryption, and durability.

Discover how to manage storage via the Azure CLI by creating a resource group and storage account, then creating a blob container and retrieving a connection string for authentication.

Learn to manage Azure storage with the Azure CLI by copying, listing, downloading, and deleting blobs in a container, using optional connection string credentials.

Create and provision Azure storage with the Python SDK by checking name availability, creating a unique storage account (location, storage v2, SKU), and provisioning a container inside the account.

Learn to interact with Azure storage blobs using the Python SDK, creating containers, uploading and downloading blobs, listing blobs, and using blob service and blob clients for account management.

Explore interacting with Azure file shares in Python, using the share service client to create shares and the share client to manage files, authenticated by a storage access key.

Learn to manage Azure file shares with Python SDK, using share service client and share client to create directories, upload, download, list files, and safely delete when empty.

Use the Python SDK to create and delete Azure storage queues, send, receive, update, and delete messages, and manage queue properties with queue service and queue clients.

Explore how to work with Azure table storage via the Python SDK, creating tables and managing entities with partition and row keys in a NoSQL store.

Explore querying and managing Azure storage tables with the Python SDK, using query strings and parameter dictionaries to filter by partition key, row key, and dates, listing and deleting tables.

Delete azure storage resources with the python sdk by removing blob containers and whole storage accounts using the blob service client, container client, and storage management client.

Explore Azure virtual machines as software-based, multi-tenant instances and learn the creation sequence—virtual network, subnet, public IP address, network interface client, and the virtual machine via CLI and Python SDK.

Deploy Azure virtual machines using the Azure command line interface to provision a virtual network, subnet, public ip, and nic, then create the vm and compare slow versus fast paths.

Create Azure virtual machines with the Python SDK by wiring compute and network management clients to build networks, subnets, public IPs, and NICs before deploying an Ubuntu VM.

Discover how to use the Azure Python SDK to manage virtual machines and networks, listing, starting, stopping, restarting, and deleting resources such as public IPs, subnets, NICs, and virtual networks.

Create and attach azure managed disks to virtual machines using the Python SDK. Specify resource group, location, and disk size, then attach as a data disk to a VM.

Discover how Azure SQL and related offerings work, and manage SQL servers and databases using the CLI and Python SDK, with firewalls and psycopg2 or pyodbc.

Learn to manage Azure SQL via the Azure CLI by creating servers, firewall rules, and databases, then compare slow versus fast setup and explore serverless compute options and sample schemas.

Explore querying Azure SQL databases via Azure portal and VS Code using the MySQL extension, manage firewall rules with Azure CLI, and provision with the Azure SQL Up command.

Explore azure sql server interaction with Pi ODBC to read, write, update, and delete data via a connection string and cursor methods such as execute, fetchone, fetchall.

Update and delete rows in an Azure SQL Server database using Python and Pi ODBC, leveraging cursor.execute calls with parameters and commit to verify changes in a Jupyter notebook.

Learn to delete Azure SQL servers and related resources with the Python SDK, listing and removing databases, firewall rules, and servers to manage costs.

Create and manage Postgres servers on Azure with the Azure CLI, including flexible server creation, automatic firewall access, and connectable databases for querying data.

Learn to create and manage Postgres SQL servers and databases on Azure using the Python SDK, including server and firewall rule setup, database creation, and psycopg2 connection and querying.

Interact with Azure PostgreSQL databases using Python and psycopg2 to perform read, write, update, and delete operations, manage connections and cursors, and run basic schema and data tasks.

Learn how to delete Azure PostgreSQL resources with the Python SDK, including databases, firewall rules, and servers, by listing them and invoking the begin delete operation on the management client.

Explore Azure billing, cost management, and consumption with the Python software development kit, using the Azure management billing, Azure management cost management, Azure management consumption packages.

Learn to use the Python Azure management billing library and billing management client to list billing accounts, profiles, customers, invoices, balances, and agreements.

Leverage the Azure Python software development kit to manage costs, query usage and forecasts, and export cost data to storage as csv for ongoing cost optimization.

Manage Azure budgets in Python using the consumption management client. List, create, update, and delete budgets with configurable scope, time grain, period, and notifications, and inspect usage details and charges.

Explore Azure data services, including data lake storage with hierarchical namespace, Synapse Analytics for big data processing, and Data Factory for data integration, all accessible via the Python SDK.

Azure Data Lake Storage Gen2 offers hierarchical namespaces and optimized analytics; learn to manage file systems, directories, and files using the Python API for data lake storage.

Manage Azure Synapse workspaces with the Python SDK, creating workspaces and dedicated SQL pools, and explore linked services, data lake storage Gen2, data explorer, and serverless pools.

Use Azure Data Factory to connect on-premises and cloud sources with no-code, or low-code, pipelines that copy and transform data using datasets and linked services.

Explore serverless computing with Azure Functions, using triggers and bindings to run code on demand. Understand http, storage, queue, and timer triggers, and the v2 decorator approach with VS Code.

Install the azure functions extension and core tools in vscode to develop locally, then create a starter http function in python via the azure tab.

Develop an http triggered Azure function that returns the current time for a given time zone via an http request, and test it locally in the VS code editor.

Build a time zone http trigger for Azure functions that reads the time zone from request parameters or json and returns the current time in that zone as json.

Learn to create and deploy blob-triggered functions in Azure Functions using a blob trigger binding, with path and connection parameters, reading blob data, logging, and testing locally then in Azure.

Learn to build a Python queue trigger in Azure Functions that processes new messages from an Azure storage queue, logs results, and deploys to the cloud with monitoring.

Schedule Python timer triggers in Azure Functions with cron syntax, retrieve current weather for Boston via Open Meteo API, log results, and deploy with updated requirements.