Introduction to asynchronous interactions with the AWS API in Python

The world is asynchronous, as Dr. Werner Vogels proclaimed at re:invent 2022. We’ll explore what that assertion means for the Python developers of the world and how we can enable (and benefit from) asynchronous interactions with the AWS API using aioboto3.

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Lambda Destinations can improve success- and error handling for asynchronous Lambda Functions

Lambda destinations enable you to respond to successful or failed asynchronous invocations in a way that wasn’t possible before the feature was added. I explain what this feature allows you to do and show you how to use it.

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Automating Athena Queries with Python

Automating Athena Queries with Python Introduction Over the last few weeks I’ve been using Amazon Athena quite heavily. For those of you who haven’t encountered it, Athena basically lets you query data stored in various formats on S3 using SQL

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Climb the (bed)rock with Python, Javascript and GO

Bedrock is now available in eu-central-1. It’s time to get real and use it in applications. Reading all blog posts about Bedrock, you might get the impression that Python and LangChain is the only way to do it. Quite the opposite! As Bedrock makes c

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Implementing accurate counters in DynamoDB using Python

Counters can be used in all kinds of situations like gathering statistics about websites or billing systems. In this post we’ll dive deep into ways you can use DynamoDB to implement atomic and accurate counters using examples in Python.

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What is Amazon Ion, and how can I read and write it in Python?

Amazon Ion is a data serialization format that was open-sourced by Amazon in 2016 and is used internally at the company. Over time it has also been introduced into some AWS services and is the data format that services like the Quantum Ledger Database (QL

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