Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Posts tagged with:   python

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" more


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 more

Creating interactive crime maps with Folium

You can see this Domino project [here].( I get very excited about a nice map. But when it comes to creating maps more

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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 more


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, more


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 more

A/B Testing with Hierarchical Models in Python

In this post, I discuss a method for A/B testing using Beta-Binomial Hierarchical models to correct for a common pitfall when testing more


Faster deep learning with GPUs and Theano

Domino recently added support for GPU instances. To celebrate this release, I will show you how to: Configure the Python library Theano more


How to run PySpark on a 32-core cluster with Domino

In this post we will show you two different ways to get up and running with Spark. The first is to use Domino, more


Social network analysis with NetworkX

Many types of real-world problems involve dependencies between records in the data. For example, sociologist are eager to understand how people influence more


Pandas Categoricals

Guest post by Matthew Rocklin Pandas Categoricals efficiently encode and dramatically improve performance on data with text categories Disclaimer: Categoricals were created more


Deep Learning with

This post provides a brief history lesson and overview of deep learning, coupled with a quick "how to" guide for dipping your more

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Comparing Python and R for Data Science

A guest post by Martijn Theuwissen from DataCamp Both Python and R are popular open source languages for performing data science tasks. more


Topic modeling in 9/11 news articles

This is a guest post by Dan Morris. The interactive dashboard and the code are also available. This post describes a project more


Interactive charts with Plotly and Domino

We've created a sample project with an IPython Notebook that uses Plotly's widgets to create beautiful interactive charts. Read on to see more

How to get started with the Data Science Bowl

I am thrilled to share a Domino project we’ve created with starter code in R and Python for participating in the Data more

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