November 2019
Volume 34 Number 11
[Exponential Technologies]
Preparing for the Exponential Technology Revolution
The rapid uptake of smart phones presaged a revolution of exponential technologies that will fundamentally reshape our lives. As Mark Michaelis points out, developers are uniquely positioned to impact the coming transformation.
[Data Points]
Backing Field and Owned Entity Changes in EF Core 3.0
In her final column in the print edition of MSDN Magazine, Julie Lerman focuses on changes in Entity Framework Core 3.0 that improve the experience working with encapsulating logic with backing fields and the mapping of value objects.
[C#]
Iterating with Async Enumerables in C# 8
C# 8 and .NET Core 3.0 introduce async enumerables. This article explores the underpinnings of the language and runtime support for producing and consuming these helpful new constructs.
[The Working Programmer]
Python: Functions
In the third (and last) part of his introductory series on Python, Ted Neward examines Python functions, and how to bundle code into named blocks that can be invoked repeatedly. He also takes a moment to bid farewell to readers.
[Blockchain]
Programming Smart Contracts in C#
Smart contracts provide so many benefits in a blockchain environment, including improved standardization, security, latency, and transaction certainty. Learn how to develop, debug and deploy your first smart contract.
[Artificially Intelligent]
Exploring Face Detection and Recognition
Tools like the Microsoft Cognitive Services Face API have made face recognition broadly available. Frank La Vigne explores the fundamental science behind face recognition, and how it has created significant new opportunities and challenges.
[Cutting Edge]
3 Things: A Few Last Words on Software
Empathy is the ability to make sense of other people’s emotions. In software, empathy is the ability to look at the naked substance of a technology and applications. In this his final column, Dino Esposito ponders the naked substance of AI, Blockchain and over-engineering.
[Test Run]
Mixture Model Clustering Using C#
If your data appears evenly distributed, then using the k-means algorithm (or one of its many variations) usually works well. But if the data appears skewed, a mixture model clustering approach such as the one James McCaffrey presents in this article often gives better results.
[Data Points]
Exploring the Azure Functions Durable Entities Preview
Julie Lerman discusses Azure Durable Functions and its new Durable Entities feature in a bonus Data Points column for the Web. She walks through running and debugging a durable entity, with the hope that she can help developers avoid the pitfalls she encountered.
[Don't Get Me Started]
So Long and Thanks for All the Fish
For 10 years, back page columnist David Platt has been MSDN Magazine's ranter-in-residence. Today, he leaves the publication as he found it--in full throat.
[Editor's Note]
Hail and Farewell
Michael Desmond closes out the 33-year run of MSDN Magazine, by recognizing the amazing people who fueled its success.
november-2019