Notes on codes, projects and everything
Being new to asyncio, after publishing the previous post on running multiple applications in one event loop, I also cross posted it to the discussion board for feedback. So apparently instead of cramming everything to the same event loop, it would be better if each application run on a separate thread. That makes sense, considering all the code that was written for that.
(more…)Just managed to migrate all my blog sites to one centralized multi-site, so no more half-baked solution and hopefully this brings better plugin compatibility. I have not check with other related services (like Google Webmaster Tools) whether this cause any breakage though. Well, the main purpose of this blog post is actually a draft of what I did for the past two months for my postgraduate programme. Yea, I should have posted more stuff to this blog (just realized that my last post here is already like half a year ago).
Just survived a job interview, so I should probably celebrate this despite the outcome. Well, considering I was off the job market for a couple of years, I probably has all the reason to be nervous. Anyway, like most geeky serious job interview, there are a test given by the company to the attendees.
Implementing a Information Retrieval system is a fun thing to do. However, doing it efficiently is not (at least to me). So my first few attempts didn’t really end well (mostly uses just Go/golang with some bash tricks here and there, with or without a database). Then I jumped back to Python, which I am more familiar with and was very surprised with all the options available. So I started with Pandas and Scikit-learn combo.
I came across a video on Youtube on Pi day. Coincidently it was about estimating the value of Pi produced by Matt Parker aka standupmaths. While I am not quite interested in knowing the best way to estimate Pi, I am quite interested in the algorithm he showed in the video however. Specifically, I am interested to find out how easy it is to implement in Python.
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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