Episode 14: Going Serverless with Python

The Real Python Podcast

Jun 19, 2020 54m

Would you like to run your Python code in the cloud without having to become an infrastructure engineer? Do you want to have Python functions that run when triggered by specific events? This week on the show we have Anthony Chu to discuss serverless computing and running python functions in the cloud. Anthony Chu is program manager for Microsoft’s Azure Functions.

We discuss the advantages of serverless computing over virtual machines, containers, and other infrastructure options for running your Python code in the cloud. Anthony also talks about the types of projects suited for this type of platform, including data science, machine learning, and creating APIs.

Topics:

• 00:00:00 – Introduction
• 00:01:22 – Microsoft Build 2020
• 00:02:16 – What is serverless computing?
• 00:06:59 – Using VSCode for serverless development
• 00:08:54 – What is blob storage?
• 00:12:08 – Adding Python to Azure Functions
• 00:16:25 – What are common serverless projects?
• 00:20:32 – Serverless containers
• 00:24:00 – Video Course Spotlight
• 00:25:28 – Accessing from a CLI
• 00:29:31 – Versions of Python available
• 00:32:50 – Running from your own Kubernetes cluster
• 00:36:03 – Advantages and disadvantages to using serverless
• 00:38:31 – Other services
• 00:39:25 – Durable functions for Python
• 00:51:04 – What are you excited about in the world of Python?
• 00:52:42 – What do you want to learn next in Python?
• 00:53:56 – Thanks and goodbye

Show Links:

• Azure Functions
• Quickstart: Create a function in Azure using Visual Studio Code
• Easy Data Processing With Azure Fun - Tania Allard PyCon 2020 Online
• Machine learning with Python using serverless Azure Functions - Microsoft Ignite
• Azure Functions YouTube Channel
• Azure Functions Blog
• Stateful Programming Models in Serverless Functions - Durable Functions - YouTube
• Visual Studio Code
• Flask-SocketIO
• An Intro to Threading in Python - Real Python Article