Subject archive for "code"

Product Updates

Take a look at Domino Code Assist

A picture is worth 1000 words, so let's get right into exploring Domino Code Assist (DCA). As I mentioned in my prior blog, with DCA you can import a dataset, make a few data visualizations, and deploy those data visualizations as a Python data app - all through a point-and-click interface. At the end of this, you have a perfectly executable Python or R script that follows the steps that you took in the UI.

By Jack Parmer3 min read

Product Updates

Getting to the Good Stuff with Domino Code Assist

My name’s Jack Parmer, and I’m the former CEO and co-founder of Plotly.

By Jack Parmer6 min read

Domino Code Assist

A New Approach to Scaling Data Science and Analytics Talent

Today Domino announced a revolutionary new capability that enables data science leaders to expand their talent pool, promote a culture of analytics around the enterprise, increase collaboration across teams, and ultimately deliver more value to the business.

By Nick Elprin7 min read


Parallel Computing with Dask: A Step-by-Step Tutorial

It’s now normal for computational power to be improved continuously over time. Monthly, or at times even weekly, new devices are being created with better features and increased processing power. However, these enhancements require intensive hardware resources. The question then is, Are you able to use all the computational resources that a device provides? In most cases, the answer is no, and you’ll get an out of memory error. But how can you make use of all the computational resources without changing the underlying architecture of your project?

By Gourav Singh Bais15 min read


Getting Started with OpenCV

In this article we talk about the foundations of Computer vision, the history and capabilities of the OpenCV framework, and how to make your first steps in accessing and visualising images with Python and OpenCV.

By Dr Behzad Javaheri13 min read


Reinforcement Learning: The K-armed bandit problem

In a previous blog post we talked about the foundations of reinforcement learning. We covered classical and operant conditioning, rewards, states, and actions, and did a review of some common reinforcement learning use-cases. This entry is a continuation of the series. In it, we present the k-armed bandit problem - a very simple setting that enables us to introduce the interaction between some of the key components of reinforcement learning.

By Nikolay Manchev9 min read

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