November 4, 2012 xlwt is a great little Python module, this tutorial walks through the steps of using it to create a multi-worksheet Excel with cross-referencing formulas.
November 4, 2012 The aim of a development group is to build business value. Building technical leverage is the focus on increasing the business value a development group delivers over time.
October 29, 2012 Once again we're experimenting with a paper reading group for our engineering team, this time with more success than previously, albeit in an unintended direction.
August 25, 2012 Can Duruk wrote up some tips from his experience at Digg, and one of them was about pagination. Let's talk about that.
August 25, 2012 Sometimes working in middle management feels like being trapped purgatory between making policy and making software. Tom DeMarco's Slack paints a much rosier picture.
August 20, 2012 Digg's fourth version isn't running anymore, but was an interesting system to work on. This article describes the system architecture, as well as the context behind those choices, and will hopefully be an interesting read for those scaling engineering teams and systems.
April 10, 2011 In this article I'm releasing real-time analytics for this site, as well as analyzing historical data thus far.
April 8, 2011 If you're doing analytics, reports or dealing with memory constraints in Redis, you're probably dealing with keeping two sorted-sets mutually consistent. This article also takes a look at using multi/exec to keep it fresh.
April 6, 2011 Last year Digg released a Streaming API which exposes real-time activity on its site. It's available via JSONP, so this tutorial takes a quick look at dynamically populating a Flot.js graph using the API's data.
April 4, 2011 Designing a system which scales to a high number of requests isn't critical for most applications, but you'll never know that it was important until after the fact, so it's worth putting some thought into ensuring your architecture can grow with your success.
April 3, 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.