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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 👉 Links from the show: https://realpython.com/podcasts/rpp/50/