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Processing.jsの使い方

Processing.jsの目的と使い方について。最初、ちょっとだけ「なぜ面白い」という質問に答えて、後で簡単な例の作り方を説明する。

Using PyFacebook without the Facebook middleware

I've been working on a Facebook application with a couple of friends recently. We decided to use PyFacebook library, but there was a brief period of intense confusion on my part about how to use the PyFacebook library without the included middleware. I worked through it, though, and this article has some advice on how you can do the same.

Skew, The Frontend Engineer's Misery

A look at the frontend engineer's primary pain point: product skew. While skew impacts everyone, it beats on the frontend engineer early and frequently. Think frontend engineer's have the easy half of engineering? Well, let's talk about that.

Tailing in Python

05/16/2010

A quick and pointless look at implementing tail in Python. Something of a koan.

Social Hierarchies in Engineering Organizations

When things get bad, people start complaining about percieved social hierarchies. Few things piss off the already angry engineer like knowing they're less important than an architect.

Teaching Adult English Classes

A collection of my thoughts and advice from my English conversation lessons taught to an adult class. A handful of ideas on topics, and awkwardly generic recommendations.

Custom Django Views for Happier Ajax

This is the second part in the Django, jQuery & Ajax tutorial series, and takes a look at improving our first stab at Ajaxy functionality with something a bit... how shall we put it... less awful, by using custom Django views to respond to Ajax requests.

Irrational Exuberance's Third Rebirth

The first Irrational Exuberance was a WordPress blog in 2007. The second a custom Django application, and the third... is also a custom Django application. Named Sisyphus.

IE's New Infrastructure and Writing Workflow

In this post I briefly discuss the (questionably) novel aspects of the new Sisyphus blog engine which hosts this blog.

How to Filter Bots From Analytics

04/03/2011

If you've ever built a homebrew analytics system and tried to get actionable insight from it, then you know the pain of filtering out automated and suspicious requests. Here are a few notes on what I've learned on filtering bots from analytics data.

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