Tag: Python

Join Us: An Introduction to Using k-NN in Production

Join us next Wednesday, October 5 for a webinar hosted by our Chief Data Scientist covering best practices for using k-NN in production. The k-Nearest Neighbors...

Using Apache Spark to Analyze Large Neuroimaging Datasets

This article was written by Sergul Aydore, Ph.D., and Syed Ashrafulla, Ph.D. Sergul and Syed received their Ph.D.s in Electrical Engineering in 2014 from the University...

Announcing Enhanced Apache Spark Support

Domino now offers data scientists a simple, yet incredibly powerful way to conduct quantitative work using Apache Spark. Apache Spark has captured the hearts and minds...

Orchestrating Pipelines with Luigi and Domino

Building a data pipeline may sound like a daunting task. In this post, we will examine how you can use Luigi - a library specifically designed...

Visualizing Machine Learning with Plotly and Domino

This post was contributed by Chelsea Douglas, a Software Engineer at Plotly. Want to play with the code from this post? Visit the project on the...

Visual Logic Authoring vs Code

At some point in their careers, almost every data scientist has written code to perform a series of steps, and thought, “It would be great if...

Python 3 Support in Jupyter

Domino lets you spin up Jupyter notebooks (and other interactive tools) with one click, on powerful cloud hardware. We recently added beta support for Python 3,...

Building Interactive Dashboards with Jupyter

Welcome to Part II of "Advanced Jupyter Notebook Tricks." In Part I, I described magics, and how to calculate notebooks in "batch" mode to use them...

Advanced Jupyter Notebook Tricks — Part I

I love Jupyter notebooks! They're great for experimenting with new ideas or data sets, and although my notebook "playgrounds" start out as a mess, I use...

Creating interactive crime maps with Folium

You can see this Domino project [here].(https://app.dominodatalab.com/u/r00sj3/crimemaps) I get very excited about a nice map. But when it comes to creating maps in Python, I have...

Better interactive data science with Beaker and Rodeo

Domino has offered support for IPython/Jupyter for a while, but we recently added support for two newer, up-and-coming tools for interactive data science: Beaker Notebooks, and...

Density-Based Clustering

Cluster Analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, or various other...

To Jupyter and beyond

TLDR; Domino now supports Jupyter with R, Python, and Julia kernels as well as terminal access. It now renders ipynb files in the browser, letting you...