Notes on codes, projects and everything
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.
So I first heard about Panda probably a year ago when I was in my previous job. It looked nice, but I didn’t really get the chance to use it. So practically it is a library that makes data looks like a mix of relational database table and excel sheet. It is easy to do query with it, and provides a way to process it fast if you know how to do it properly (no, I don’t, so I cheated).
Back then when I was attending a job interview, I was asked to write a Fizz Buzz program to prove that my coding ability. There was only a pen and a piece of paper, so basically means there’s no way I can refer to the documentation for the API syntax. Fortunately I somehow managed to remember and not screw up.
It is very difficult to like the way vim handle plugins by default, so I was really thrilled to find out about pathogen when a geek I followed tweeted about it. It took me some time to actually re-organize my current configuration to this new format. Then I thought why not reorganize my .vimrc as well, as my current version looks a bit cryptic after a while.
After being frustrated of not getting consistent and accurate result via standard DOM methods especially html_element.getAttribute('key');
and html_element.setAttribute('key', 'value');
, I came across some YUI library components that provides abstractions to various DOM methods. Some interesting DOM-related tools covered in this post are YAHOO.util.Element
, YAHOO.util.DOM
and YAHOO.util.Selector
.
I am starting to like programming in Javascript, especially after understanding more about how Javascript handles scopes. Surprisingly this take me like a year to figure out how scope is managed. The result of the findings is that I start doing a lot of experiments and discovered more interesting stuff through them.
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.