When working as part of a team on a Django project, it is often useful to have a per-host settings file. There are many ways to do this but the approach that I liked most is creating a local_settings.py file in each environment. I’m often the only programmer on web projects, but even then I still find it helpful to have a local_settings.py file on my local host. In it I include things such as debug-related settings, test keys for the different API providers, a modified logger configuration and flags that turn off any added security measures.

My workplace has a subscription to SpringerLink. So I’ve been having a blast looking at the different books over there. I found lots of books that are on my Amazon wish list and so i was like a child at a candy store. The problem is that the books are provided via separate pdf files for chapters. I am not sure why they do that, I think to make it tougher to pirate the files?

Michael Ivey recently wrote about his git work flow over at My Git Workflow and it turned out to be a pretty useful article and was just the encouragement that i needed to blog about my own experience. Although I’ve used git before, I much rather use bzr whenever possible. I’m not into religious wars about tools, so use whatever you like. I work as an independent programmer(freelance programmer if you prefer) and so I am often working on several projects at the same time, mostly on my own, but sometimes with 1 or 2 more people involved.

Strange title, isn’t? I don’t actually make bombs :) although during the last war, a lot of people probably thought i did. In my KDE days, i used to make a lot of use of an applet called KTeaTime(http://docs.kde.org/stable/en/kdetoys/kteatime/introduction.html#whats-kteatime). Its a nice little applet that tells you when your tea is ready after you select what type of tea you want. So if you select extra black tea for example, it will remind you that your tea is done after 10 mins for example.

Update: I removed the source code from the blog post. You can now find it on my github account. Most Hadoop tutorials use the wordcount application as a demo application. And while this might be a good demo application, it is not particularly helpful. So i wanted to think of an idea for a more useful application to use on a cluster. My first thought was trying to implement the famous Sieve of Eratosthenes.