Intro to GraphQL, Part 2: Exploring a GraphQL Endpoint

Intro to GraphQL, Part 2: Exploring a GraphQL Endpoint

GraphQL is an exciting new API architecture. Join us in this special series where you'll learn the basics of GraphQL, how to interact with an... Details
What is GraphQL?

What is GraphQL?

GraphQL is an exciting new API architecture. In this series where learn the basics of GraphQL, how to interact with an existing GraphQL endpoint, how... Details
Read in Database Data with the Database Loader in ML.NET

Read in Database Data with the Database Loader in ML.NET

The new DatabaseLoader in ML.NET was updated in the 1.4-preview version. Jon Wood made this video to show you how to use it. Details
REST API Concepts and Examples

REST API Concepts and Examples

As Data Science teams evolve and start producing models, the models will need to be deployed and exposed to other programs. Typically, this is done... Details
Saving and Loading Binary Data in ML.NET

Saving and Loading Binary Data in ML.NET

Jon Wood has another great video on how to save and load binary data in your ML.NET applications to build models against. Binary data can... Details
Dependency Injection support in Azure Functions

Dependency Injection support in Azure Functions

.NET developers have been taking advantage of dependency injection (DI) to make their code easier to test and manage. The latest update to Azure Functions... Details
AI and the Future of Software Development

AI and the Future of Software Development

In this era of “Internet of Code”, data and metadata around open source projects are abundantly available. Here’s an interesting talk by Microsoft Research on... Details
What is Cloud Native, Really?

What is Cloud Native, Really?

Get the definition from the engineers on campus up close and personal on the Cloud Native Show. In our Pilot episode, follow Shayne as he... Details
Maintainable Code in Data Science

Maintainable Code in Data Science

In this PyData London talk,  Kevin Lemagnen covers something that I’ve long wondered about: the maintainability of code created in data science projects. Notebooks are... Details
Are Trendy Developers Over-Engineering Workplaces?

Are Trendy Developers Over-Engineering Workplaces?

Along the lines of a recent post about companies that still run SQL 2008, here's a thread from Slashdot (!) about how the quest for... Details