Host a Website with Azure Functions and Node.JS, Part 2 — Logging

In part 1 of this series, we looked at how you could use Azure Functions to host a static website. The function basically served up static files it read off the file system and delivered them as HTTP responses. Websites though are not complete without logging! Logging is already supported in functions when one calls…

Beginning Statistics for Data Science: Analyzing Data

In our last post we discussed different types your data can have. Now let’s focus on how to analyze on those types of data. Python code will be used to demonstrate a few of these concepts. To get things start in regards to the Python code, let’s go ahead and import our packages and review…

Let’s Build Something with MongoDB & Python

MongoDB is the most wanted database technology of 2017. Python is the fastest-growing major programming language. These two tech titans combine in this webcast to build something useful and interesting. We’ll build a simple, data-driven application in Python based on MongoDB live throughout the event. Here is the link to Wintellect’s GitHub to find the…

Host a Website with Azure Functions and Node.JS, Part 1

Azure Functions are Microsoft’s answer to “serverless” computing. Functions enable applications developers to write event-driven code (ie. “functions”) than can be triggered by timers, manual integration, HTTP requests, service buses, message queues and many other integration points. These functions can be written in a number of different languages including C#, NodeJS (which this example uses),…

Getting Started with Kubernetes Webinar

In this webinar, we’ll give you a primer on Kubernetes and show you how to get started using Kubernetes for container orchestration. We’ll talk about the pieces of Kubernetes, show you how they work together, and finally show you how you can get your containers running on Kubernetes locally and in a hosted environment. Watch…

Building on App Center

In my previous (and first) blog post on App Center I talked about getting started, adding the SDK to your code, and looking at Analytics and Crash reporting.  In this post I’d like to discuss building your app on App Center; which allows you to distribute your app to Beta testers and others. There are…

Getting Quick Insights on Sales Data with PowerBI

To finish off getting insights from a sales data set, we’re going to look at using Microsoft’s PowerBI. PowerBI is a very helpful tool for looking at our data through visualizations. The insights will be the same that we got in our visualization post from before, but using PowerBI we get these visualizations quicker and…

Handling “Open File – Security Warning”

It seems like a simple enough task. Use an Azure File share to store an executable and use a PowerShell script to execute the application on a new virtual machines. In practice, however, you might find that the executable is quietly failing to run. Running the executable on the server manually, the problem becomes apparent…

Data Analysis in Python with Pandas Webinar

Data Science, Machine Learning, and AI are all trends dominating modern computing and revolve around one important thing – data. All that data needs, is to be cleaned, and transformed in specific ways, to take full advantage of the algorithms available. During this webinar, we’ll cover Pandas, one of the best libraries in Python to…

Getting Started with VS App Center

There is no doubt that Microsoft’s VS App Center is an incredible resource for mobile application programmers.  The problem is that it seems hard to get started.  The good news is that once you get started, it turns out to be wicked easy! For this blog post, I’m going to assume that you are already…

Beginning Statistics for Data Science: Types of Data

Statistics is becoming a must learn topic for anyone looking to get into data science. Look at any data scientist job posting, and you will be hard-pressed to find a listing that does not mention a degree in statistics, mathematics, or some experience in analytics as a minimum qualification. Courses in data science are including…

Data Analysis in Python with Pandas

During this webinar, we’ll cover Pandas, one of the best libraries in Python to clean, transform, and run a quick analysis on your data. We’ll also have a look at NumPy, a library that Pandas rely so heavily upon.