Monthly Archives: May 2013

Learn Git Branching Visually

Learn Git Branching is a great way to learn Git branching, merging and collaboration command through a nice interactive web application. The author (Peter Cottle) deserves a hats off for the innovative learning experience. There is a quick demo for

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Posted in reference, visualization

Benchmarks of Python WSGI Servers

Benchmarks of Python WSGI Servers Here is a nice post by Nicholas Piel. He has created a benchmark for Python WSGI Servers using web sockets. Here different frameworks will be used to handle asynchronous and non-blocking connections on a web

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Posted in Uncategorized

The Art of Data Visualization – PBS

Humans have a powerful capacity to process visual information, skills that date far back in our evolutionary lineage. And since the advent of science, we have employed intricate visual strategies to communicate data, often utilizing design principles that draw on

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Posted in visualization

Choosing the Right EC2 Instance Type for Your Application

The Amazon Web Services Blog has an article on how to choose the right EC2 Instance Type for your Application. AWS allows you to choose from 10 different instance types that are grouped into 6 instance families. Instance Families: General-Purpose

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Posted in architecture, cloud, technology


ChartsNThings Here is a blog containing data sketches from the New York Times, Graphics Department. It provides many useful techniques and images for visualizing data that are currently in use by the New York Times today! Most of the recent posts

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Posted in analytics, data science, visualization

Your one stop “shop” for D3 demos and exmaples.

Your one stop “shop” for D3 demos and exmaples. D3¬†has been getting a lot of attention recently and there have been many great examples and tutorials created to help anyone get started ( or learn more of what this tool

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Posted in javascript, library, visualization

How do I become a data scientist?

Data Science Central blog pointed out an interesting discussion on Quora: The blog post summaries the lengthy discussion on Quora as follows: Here’s a summary of the very long and detailed top answer: Learn about matrix factorizations Learn about distributed

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Posted in analytics, big data, data science