Have you wanted to get your Python code to consume data from web-based APIs? Maybe you’ve dabbled with the requests package, but you don’t know what steps to take next. This week on the show, David Amos is back, and he’s brought another batch of PyCoder’s Weekly articles and projects.

We discuss an article titled, “Python’s APIs: A Winning Combo for Reading Public Data”. David shares another Real Python article about creating microservices using Google Remote Procedure Calls (gRPC).

We also cover several other articles and projects from the Python community including, making a difficult data analysis question easy with pandas, efficiently cleaning text with pandas, the tricky bits of Python concurrency, building rich terminal dashboards, making better assertions for Python tests, and building and managing real-life data science projects with metaflow.

Topics:

• 00:00:00 – Introduction
• 00:01:46 – Python Microservices With gRPC
• 00:07:49 – Python’s APIs: A Winning Combo for Reading Public Data
• 00:15:07 – Making a Difficult Data Analysis Question Easy With Pandas
• 00:21:07 – Efficiently Cleaning Text With Pandas
• 00:34:20 – Video Course Spotlight
• 00:35:27 – Python Concurrency: The Tricky Bits
• 00:41:49 – Building Rich Terminal Dashboards
• 00:45:08 – python-precisely: Better Assertions for Python Tests
• 00:48:45 – metaflow: Build and Manage Real-Life Data Science Projects With Ease
• 00:52:35 – Thanks and goodbye

#python #api #microservices #grpc