The Open Source U

As some readers will know, I’ve been working to study the architecture of FireFox. One thing I realize is that I’m not as familiar as I should be with some of the common open source tools, or what I consider to be the common open source tools.

Below is a list of tools that are worth learning (in my opinion). I’ve also included a short description of why it might be worth learning them. (The list is in no particular order)

If you have an interest in open source, it will not hurt to get a quick base understanding of each of these. I’m not saying you (nor am I trying to) become an expert in each of these tools. However, having a basic understanding of syntax and function should save time and headache while trying to understand a project.

1. Linux: The concepts in and around Linux are often used on other open source products. I think Open Source developers tend to stick with using open source software. So, there is a link there.
2. Bash: The de-facto standard shell for Linux (as far as I can tell). Knowing the basic usage of bash can save you time and confusion.  Certain scripts can depend on feature of your terminal interface. The Mac OS X ships with a version of bash, which is good to know…
3. GCC: This is the GNU Compiler Collection and is often a requirement to build open source packages.
4. Make: This is a part of the GCC but I want to make special mention of this because knowing how to read the script files and error messages can help diagnose an error.
5. C / C++: Low Level libraries are often written in C or C++, even for an otherwise Java or Python based program.
6. Python: Python is sometimes used in conjunction with Make to check for build dependencies, verify (build) requirements, or many other possible things.
7. Perl: Often used like Python, from what I understand but I’ve yet to learn much about it.
8. Subversion: This is the most common open source VCS software in use (based on my own observations)
9. Mercurial: One of the two popular DVCS systems. I’ve noticed more and more open source projects switching to DVCSs, so a basic working knowledge of Mercurial and Git is helpful.
10. git: The second of the two popular DVCS systems.

If you’d like to contribute to the list, please leave a comment below but please ensure you include a fair reason.

The following article covers a great should-know piece of information for any SQL Server developer. Though, comma delimited strings are not usually desired in database, it can be nice to receive data this way for things like embedding in to a query string or passing over a web service*.

http://www.sqlteam.com/article/using-coalesce-to-build-comma-delimited-string

*I don’t necessarily suggest the web service idea. I was just saying for illustrative purposes…

I’ve been considering possible topics for a master’s thesis. I was bouncing around the ‘net and found the following link. I thought I’d post it here for (1) future reference, and (2) for others who might be interested (though, I suppose you are more likely to find it via Google…)

http://www.sigsoft.org/phdDissertations/

I’ve been studying Python because it is extensively used in open source projects to script certain types of work or actions. I think Mozilla uses it to verify build time requirements, for example.

But, python itself is a full fledged programming language — not really a scripting language. In fact, Mercurial is written in Python which at first amazed me.

So, anyway as part of my pursuit of studying Firefox, I thought I should (at least) learn the basics of Python so that I could read any relevant scripts. Python is quite different from other languages I’ve encountered.

One thing I started to notice about python is that it seems to use more memory. I’m not sure, nor am I suggesting that it uses more than other languages. I just noticed that memory consumption seemed to grow rapidly when running a python script.

The following article seems to explain why. Instantiating a class is expensive. According to the article, a class is 336 bytes. Since in general, a class will use multiple other classes, I can see why memory consumption was growing rapidly.

Ultimately, I don’t think it matters. You just need to be aware that it happens. A modern computer will run the script without any notice to this phenomenon. You’d need to create a lot of objects to cause a problem. But I do beleive it is worth acknowledge that it happens so that you can be aware of the memory usage. It’s mostly noticeable on my work computer (the company provided) which only has 1 GBs of RAM (it runs Windows XP).

http://www.valuedlessons.com/2008/10/blog-post.html