2013 September

• Update in tools

  It is very much expected that there will be endless stream of new (and often times better) tools introduced to solve the same set of problems. While I am slowly resuming my programming work, and in the process of reviving my very much dead postgrad project, I found some alternative to the tools I had used in the past. I suppose I shall just jot them down here so that there’s a reference for later use.

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Random Posts

• Refreshing the ReactJS Internet Censorship Dashboard (and Dockerizing Poetry Projects)

  The Internet Censorship Dashboard is a project that aggregates data fetched from the OONI API, to provide an overview of the current state of Internet Censorship experienced by users mainly in Southeast Asia. The current form was built a couple of years ago, and recently got funded to get it updated to work better with new APIs.

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• 4 Fundamental Things in Programming (pre-101)

  Just recently I volunteered to do a pre-101 kinda workshop for people wanting to learn programming. I had done this a few times in the past, but in different settings and goals in mind. The whole structure predates the sessions but I can’t remember when I first created them.

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• Evaluating logical statements

  Often times one would have to write code to evaluate logical statements. For example, given statement p and q, what is p implies q? As there’s no operator for implication in PHP, one would have to rewrite the statement that consists only in NOT (!), AND (&&) and OR (||) operators. When there are a huge load of these statements, code can be difficult to read.

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• Picking Up Category Theory (and eventually Haskell)

  I don’t quite remember when did I first heard about Category Theory, but the term stuck in my head for quite a while. Eventually I attempted to start looking for tutorials on the topic, but it is hard to find one that I actually understand. Most of them are either leaning too much to the Mathematics side, or too much to the Programming side.

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• Implementing Fuzzy c-means in Clojure

  I was asked to evaluate fuzzy c-means to find out whether it is a good clustering algorithm for my MPhil project. So I spent the whole afternoon reading through some tutorial to get some basic understanding. Then I thought why not implement it in Clojure because it doesn’t look too complicated (I was so wrong…).

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