.NET for Apache Spark 1.0 is available

Microsoft has released version 1.0 of .NET for Apache® Spark™. The official announcement provides a brief overview of the basic features, performance and the future of .NET for Apache Spark.

It even mentions my docker images, which are now available for version 1.0.0, too. Some of my articles are mentioned on the Open Source Blog as well. A big Thank You to everyone supporting me by trying out the images, providing feedback or contributing in any other way.

Speaking of docker images: In case you didn’t know yet, there are now three different types of … more

.NET for Apache Spark – interactive notebook Docker image

If you are reading this, you are probably aware of my .NET for Apache Spark Docker images that I’ve made available so far. Just recently I’ve added a development image that allows you to easily build .NET for Apache Spark with VS Code in a browser. Today I want to introduce you to the latest member of the family:

The .NET for Apache Spark interactive notebook Docker image.

Jupyter Notebooks

In case you are not aware of what Jupyter Notebooks are, here’s a quick summary quote from the Jupyter project site.

The Jupyter Notebook


NumSharp Cheat Sheet

NumPy to NumSharp Cheat Sheet

Recently, I published a small example project to utilize the htm.core AI algorithm by consuming its REST API via C#. As the API also transfers serialized multi-dimensional NumPy arrays, I was looking for an easy way to get them back into C# objects. I’ve tried out a couple of approaches and finally decided on using the NumSharp library, as I wanted a solution that works on multiple platforms.

I find DataCamps’ Data Science Cheat Sheets very useful and was hoping to find something similar for NumSharp. Well, I didn’t, but obviously that gave me a … more

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