Open-source Data Science Toolkit

Posted to Software  |  Tags: ,  |  Nathan Yau

Pete Warden does the data community a solid and wraps up a collection of open-source tools in the Data Science Toolkit to parse, geocode, and process data.

A collection of the best open data sets and open-source tools for data science, wrapped in an easy-to-use REST/JSON API with command line, Python and Javascript interfaces. Available as a self-contained VM or EC2 AMI that you can deploy yourself.

Many of the services are available via public APIs, but the usual benefits apply of running your own service such as privacy, independence, and no limits. Hit your machine with as many requests as you want. The code is available in its entirety on GitHub.

[Data Science Toolkit via @JanWillemTulp]

3 Comments

Favorites

Graphical perception – learn the fundamentals first

Before you dive into the advanced stuff – like just about everything in your life – you have to learn the fundamentals before you know when you can break the rules.

19 Maps That Will Blow Your Mind and Change the Way You See the World. Top All-time. You Won’t Believe Your Eyes. Watch.

Many lists of maps promise to change the way you see the world, but this one actually does.

Visualizing the Uncertainty in Data

Data is an abstraction, and it’s impossible to encapsulate everything it represents in real life. So there is uncertainty. Here are ways to visualize the uncertainty.

Marrying Age

People get married at various ages, but there are definite trends that vary across demographic groups. What do these trends look like?