Getting Started
- Setting up your Python environment on Windows
- Integrating with Visual Studio Code
- Accessing Azure services with Python SDKs
- Using Python with .NET applications (IronPython)
Azure & Python
- Deploying Python web apps to Azure App Service
- Building serverless functions with Azure Functions (Python)
- Leveraging Azure Machine Learning for Python projects
- Managing data with Azure SQL Database and Python
import azure.cognitiveservices.speech as speechsdk
# Speech synthesis
speech_config = speechs_config.SpeechConfig(subscription='YOUR_SPEECH_KEY', region='YOUR_SPEECH_REGION')
speech_synthesizer = speechs_synthesizer.SpeechSynthesizer(speech_config=speech_config)
text = "Hello from Python on Azure!"
result = speech_synthesizer.speak_text_async(text).get()
if result.reason == speechs_sdk.ResultReason.SynthesizingAudioCompleted:
print("Speech synthesized for text [{}]".format(text))
else:
print("Speech synthesis failed: {}".format(result.reason))
Tooling & Frameworks
- Best practices for Python in Visual Studio
- Leveraging Pytest for unit testing
- Introduction to Django and Flask on Azure
- Containerizing Python applications with Docker
Learning Resources
- Official Microsoft Learn paths for Python
- Deep dives into Python performance tuning
- Python asynchronous programming guides
- Community forums and support channels
Advanced Topics
- Interoperability between Python and C#
- Building APIs with FastAPI and Azure
- Data science and analytics with Pandas and NumPy
- Security considerations for Python applications
Case Studies
- How enterprises use Python with Microsoft stack
- Success stories in AI and IoT with Python
- Building high-performance applications