In the second episode of this series, Dmitry and Suz Hinton cover the development process for deploying and debugging your very first Windows IoT Core application, “Hello Blinky”. An explanation of the breadboard setup is followed by a demonstration of using Visual Studio on a PC to run the Hello Blinky UWP application remotely on the Raspberry Pi.

A brief walkthrough of the Hello Blinky source code reveals a familiar set of APIs and a couple of new ones unique to Windows IoT Core. A tour of the deployment and debugging process will help equip you with the confidence to replicate the same setup on your own.

You can find all the episodes in this series as they go live in this YouTube playlist.

Resources:

  1. Getting Started Developing Applications
  2. Debugging your application
  3. Hello Blinky Sample on GitHub

It’s official: Amazon will split its second HQ between Queens in New York City and Northern Virginia, specifically Crystal City. Although Amazon refers to it as “National Landing,” which apparently is irking many Washingtonians. At this point, I would remind them that there was a time when TriBeCa was laughed at.

I’m more excited at what this could mean for the DC area startup scene in the longer term.

 

 

 

 

Stephanie Hurlburt, Binomial co-founder, joins Scott Hanselman to talk about their current projects. Stephanie covers the differences between CPU and GPU, how Binomial balances open standards with its paid products, and where to get started with open source image/texture compression. From Scott, you’ll hear about open source in healthcare, including his personal experiences with diabetes technology, where to learn more, and ways to get involved.

You’ll leave with a few new projects to check out, and, whatever you’re passionate about, there’s likely an open source community or project waiting for you to join – or start.

TensorFlow Meets Chip Huyen (@chipro), author and instructor of the TensorFlow for Deep Learning class at Stanford University: https://goo.gl/rNb6PW. In this video, she discusses the class, her journey from writing travel stories, to studying computer science, to now teaching students about deep learning at Stanford University!

Time series is the fastest growing category of data out there! It’s a series of data points indexed in time order.

Often, a time series is a sequence taken at successive equally spaced points in time. In this video, Siraj Raval covers 8 different time series techniques that will help us predict the price of gold over a period of 3 years.

Code for this video https://github.com/llSourcell/Time_Series_Prediction

In the first episode of this series, Dmitry and his guest Suz Hinton introduce Windows IoT Core as a way of building applications for IoT solutions. We cover some foundational topics such as how Windows IoT works, and what it is designed for. We’ll also discuss how Windows IoT applications are developed, and how they differ from regular Universal Windows Platform applications.

Featuring a brief introduction to breadboards and the Raspberry Pi, we set the scene for writing your first Windows IoT Core UWP application, detailed in the second episode of this series.

You can find all the episodes in this series as they go live in our YouTube playlist.

Resources:

  1. Windows IoT Core Overview
  2. How breadboards work
  3. How to install Windows IoT Core on your Raspberry Pi