Notes on codes, projects and everything
Generally, library holds a wide variety of reading materials and providing ample space for quiet study. A full range of services is provided in a library, such as loan, reservation, inter-library loan, reference, online resource, document delivery, photocopying, audiovisual and microform materials.
Initially, the library transactions are handled manually by the library staff. The references are stored using the filing system. This tradition method has raised many inconveniences to the library staff.
Hence, you are required to do some research on the problems that faced by the conventional library management system, and then develop a computerized library system by using the ASP.NET.
A master page is used to set up a consistent look and feel to the website. However, since it is not being discussed in class, therefore we had got to learn that ourselves. We implemented a simple master page to the website and separate the layout and data presenting element using a stylesheet file. The tool used to develop the assignment is Visual Web Developer 2005 Express Edition.
Following included are the screenshots for some main functions.
After comparing my own implementation of MVC with CodeIgniter’s, now I’m comparing Kohana’s and Zend’s. I have just shifted from CodeIgniter to Kohana recently in work and is currently learning on how to use Zend Framework to build my web-app. As everybody knows, Zend Framework is more like a collection of library classes than a framework a la Ruby on Rails, using MVC in Zend Framework would require one to begin from bootstrapping stage. However, in Kohana, just like other frameworks, bootstrapping is done by the framework itself so the developer will get an installation that almost just works (after a little bit of configuration).
In the last part, I implemented a couple of primitive functions so that they can be applied in the following chapters. The second chapter of the book, is titled “Do it again, and again, and again…”. The title already hints that readers will deal with repetitions throughout the chapter.
This post is purely based on my own speculation as there’s no experiment on real-life data to actually back the arguments. I am currently trying to document down a plan for my experiment(s) on recommender system (this reminds me that I have not release the Flickr data collection tool :/) and my supervisor advised to write a paragraph or two on some of the key things. Since he is not going to read it, so I might as well just post it here as a note.
Often times, I am dealing with JSONL files, though panda’s DataFrame is great (and blaze to certain extend), however it is offering too much for the job. Most of the received data is in the form of structured text and I do all sorts of work with them. For example checking for consistency, doing replace based on values of other columns, stripping whitespace etc.