Form Recognizer, an Azure Cognitive Service that helps you extract data from your documents, has some exciting new features that are supported in our client libraries. Learn more about detecting checkboxes or selection marks from your forms, using prebuilt models to extract information from docs.
In this post we'll share the GA announcements of latest Azure Resource Management libraries for Java and Python and provide an update to the overall SDK product roadmap.
The new Metrics Advisor service allows you to easily detect anomalies in your data. This blog will show you how to set the service up and use it in your application.
Azure SDK releases every month. In this post, you'll find this month's highlights and release notes.
The capabilities and constraints of the package management tool chain used by a particular ecosystem can have a dramatic impact on how you structure your repositories.
One of the most important design concepts of the new Azure SDK for Python is that the SDK is modular. This allows us to provide highly customizable HTTP pipelines that users can configure to their own needs. In this article, I will briefly describe the main HTTP pipeline for the Azure SDK for Python, then focus on the HTTP transport and the ab
We’re excited to announce that a new set of Azure management libraries for Java, .NET and Python are now in Public Preview. These libraries follow the Azure SDK guidelines and share a number of core features such as authentication protocols, HTTP retries, logging, and transport protocols.
Visual Studio Code has an extension for running Jupyter Notebooks, which is a great tool for those of us interested in data analytics as it simplifies our workflows. In this article, I will show how to consume Azure data in a Jupyter Notebook using the Azure SDK. The problem I will be demonstrating builds a predictive model to anticipate service sc...
Todays topic is diagnostics with Python applications. I have a fairly complex application, and something is going wrong. Azure provides a capability within Azure Monitor called transaction monitoring that tracks a transaction (such as an API call) from your application all the way through to the service that fulfills the request. This is power
How do your apps identify themselves to the cloud resources you are using? This is one of the most important considerations when building a cloud-native app. When you write a service, you should be able to take the same code and run it on your dev box and in any of the Azure clouds without code changes.
