Monthly Archives: October 2012

It Seems I’ve Been Wasting My Time…

…not to mention lots of tin foil.

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Securing WordPress Sites

This is another in my series of posts about keeping my blog (and yours) free from malware. Victor Granic over at switchwp has an excellent and reasonably comprehensive post on securing WordPress sites. I came across his post via Sacha … Continue reading

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Reader Macros

J.V. Toups over at Dorophone has a nice, short introduction to Common Lisp reader macros. The conventional wisdom is that it’s best to avoid reader macros when you can and the use cases that Toups examines probably fall into that … Continue reading

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Editing A Column of Numbers

Alex Schroeder has an interesting post on editing a column of numbers. The problem is that given some text such as |[[…]] | 1 | 6563| 3796| |[[…]] | — | |[[…]] | 1/3 | 2315| 1259| |[[…]] | — … Continue reading

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More Common Lisp Tweets

Jean-Philippe Paradis has announced a “massive reorganization” of his Common Lisp tweets collection. He’s also added 200 about 70 new tweets to the collection for a total of almost 200. In the past, I’ve recommended going to his site for … Continue reading

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Computer Attacks in Real Time

BetaBeat has a fascinating article (via The Atlantic Wire) on a Honey Pot project that allows you to watch attacks as they happen. Every time there’s an attack, a red dot explodes on a world map at the source of … Continue reading

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NIST Announces SHA-3

NIST just announced the winner of the SHA-3 competition: it’s Keccak. The Keccak hash uses a completely different strategy from the SHA-2 family, something that most analysts view as an advantage. It’s not clear how quickly Keccak will be integrated … Continue reading

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SBCL 1.1.0

SBCL 1.1.0 has been released and is available from the SBCL Download page. Although they have brought the OS X binary up to date, I chose to compile from source. The compilation ran without difficulty and as far as I … Continue reading

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Stop!

Please. Stop. This. I’ve asked, nicely, previously. Now I’m getting annoyed. I’ve said it before: If you want Python, you know where to get it.

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An Analysis of PIN Numbers

Over at Data Genetics there’s a great analysis of PIN numbers. By aggregating data from several breaches Nick Berry gathered 3.4 million PIN numbers and performed extensive analysis on them. Every possible value was represented in the sample but they … Continue reading

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