## Using Python with Microsoft Reporting Services (SSRS)

Using Python with SQL Server 2017 SSRS should not be an obstacle, since the framework and the technology is the same as with R language. With SQL Server 2017, Python...continue reading.

Using Python with SQL Server 2017 SSRS should not be an obstacle, since the framework and the technology is the same as with R language. With SQL Server 2017, Python...continue reading.

UI Update — DatazarAs your projects get more and more files added to it, keeping track of your datasets and analysis can become tedious. We’ve updated your project file list so you...continue reading.

What if you are not good in remembering faces? Well Buy a Rpi, camera and LED matrix display. Install openCV and the face-recognition library, and set it up with important...continue reading.

This tutorial will show you how to use the NumPy sum function (sometimes called np.sum). In the tutorial, I’ll explain what the function does. I’ll also explain the syntax of...continue reading.

From time to time, I work with “open data” published by public authorities. Often, these data do not deserve the … Read More →continue reading.

This tutorial will show you how to use the NumPy append function (sometimes called np.append). Here, I’ll explain what the function does. I’ll explain the syntax (piece by piece), and...continue reading.

The NumPy linspace function (sometimes called np.linspace) is a tool in Python for creating numeric sequences. It’s somewhat similar to the NumPy arange function, in that it creates sequences of...continue reading.

In this post we’re going to model the prices of Airbnb appartments in London. In other words, the aim is to build our own price suggestion model. We will be...continue reading.

Last Christmas is one of the most popular Christmas tunes that were, are and will be out there. The song is written by the brilliant musician George Michael and was...continue reading.

According to a KDD poll fewer respondents used only R in 2017 than in 2018. At the same time more respondents used only Python in 2017 than in 2016. And...continue reading.

The Numpy arange function (sometimes called np.arange) is a tool for creating numeric sequences in Python. If you’re learning data science in Python, the Numpy toolkit is important. The NumPy...continue reading.

Microsoft Ignite, Microsoft’s annual developer conference, wrapped up last week and many of the big announcements focused on artificial intelligence and machine learning. The keynote presentation from Microsoft’s Cloud AI...continue reading.

I announced months ago that one of my video courses, Unpacking NumPy and Pandas, was going to be turned into a book. Today I’m pleased to announce that this book...continue reading.

Let’s talk about the NumPy zeros function. If you’re doing data science in Python, you need to be able to work with numerical data. One of the primary tools for...continue reading.

NumPy arrays are an important component of the Python data science ecosystem. When working with NumPy arrays, you’re going to need to be able to perform basic data manipulation. In...continue reading.

In a recent blog post our CEO Sebastian Heinz wrote about Google’s newest stroke of genius – AutoML Vision. A cloud service “that is able to build deep learning models...continue reading.

One of the cornerstones of the Python data science ecosystem is NumPy, and the foundation of NumPy is the NumPy array. That being the case, if you want to learn...continue reading.

🌟 Before we introduce this seriously cool visualization, we’d like to announce that plotly.py has surpassed 5 million downloads! Thank you for helping us reach this milestone! 🙌 Once Upon...continue reading.

Author and research engineer Joel Grus kicked off an important conversation about Jupyter Notebooks in his recent presentation at JupyterCon: There’s no video yet available of Joel’s talk, but you...continue reading.