Software Engineering Radio and public speaking

I recently discovered Software Engineering Radio and added it to the list of podcasts I regularly listen to during my commute.

There are 2 interviews in the archives with none other, than Prof. Doug Schmidt, who works at the same institute where I do (he is the creator of the ACE/TAO framework and the author of the Pattern Oriented Software Architecture books among others.). Unlike most of us nerds, he is a truly brilliant public speaker. I admit sitting in during some of his talks where the topic itself was not all that interesting for me, just to listen to him talk.

Well, today, I realized one of his secrets. Well, in addition to being smart of course. And having a good sense of humor. His other secret is: he talks fast. A high words per minute count doed make you sound more interesting and even smarter.

See also GeekBrief TV's episode 166, where Cali Lewis talks about why learning to talk fast is important. [Update: the archive doesn't go back enough to see that episode. Oh, well.]

Passed the SCJP exam

Many years ago I wanted to get an SCJP exam, but changed jobs before I could take it and later forgot about it somehow. Last month I decided that I'd take care of this unfinished business.

It took me a bit less than 2 weeks to prepare spending about 1 hour a day on average reading the book and solving example questions.

The exam is not hard if you have a lot of Java experience (I started developing in Java back in 1997 with JDK and 1.0 and Applets...) but it does have a few trick questions. The format is typically: what does this program print, but since "compilation fails" and "an Exception is thrown at Runtime" are almost always among the possible choices you have to look at the code carefully.

Some of the things I learned during the preparation are pretty much useless, like watching out for silly mistakes that modern IDEs, such as Eclipse catch for you immediately as you type the code.

Other questions test your knowledge of corner cases in the language that I've never encountered in my many years of coding, such as whether catch (Exception e) will catch AssertionError or whether this abomination compiles:

long[][] a[] = new long[3][][];

(It does.)

So now I'm certified (I got 90%) and know much more about the java.util.Scanner class than I'll ever need to. :)

Code reviews, automated testing, static analysis

There was an interview on The Java Posse podcast where Brian Goetz (whose book is great BTW) said something about software QA which made me nod heavily in agreement. (It probably looked strange standing alone in the bus stop). I liked it so much, that I'll transcribe it here:

"If you ask most developers on the street 'why do we test code' you'll get an answer something like: 'to find bugs!' Finding bugs is good, but I think finding bugs is a happy side effect of writing tests. [...]

Writing tests is one of those necessary things but it exhibits diminishing returns. The first 100 hours you spend writing tests are probably going to be more effective in terms of improving your confidence in the code than the 100 hours from 1000-1100. [...]

A better way to think about the kind of testing that we do is not that we're looking for bugs it's that we're looking to buy confidence. [...]

Writing tests is a form of buying confidence that exhibits diminishing returns.
Code review does the same thing. [...]

And if you try to apply portfolio theory to optimizing the QA budget [and] you observe that both of these buy you confidence with diminishing returns and they're uncorrelated then the optimal portfolio is to have some mix of testing and code review rather than putting all your eggs in one basket or the other.

Static analysis yet a third thing we can do [...] that tends to find different kinds of bugs than either testing or code review. So it's something that should be part of everybody's development lifecycle, ererybody's arsenal, everybody's toolkit."

I'm a huge fan of FindBugs and other static analysis tools I wish there were more ways (ie. a richer set of annotations) to make things in Python (and even in Java) more explicit, so that these tools could catch stupid mistakes for almost free and immediately rather than letting them slip through and manifest as hard to find bugs further down the road.

A nice podcast on Python VMs

I don't have much time and patience for podcasts and I'm really happy when I find one that doesn't make me feel like I'm wasting my time. Here's probably the most informative podcast on Python that I've listened to in a long time:

• How Python runs by Chris Hefele [MP3] (Guest podcast on Python411)
  

It's a nice high level overview of CPython, Jython, IronPython, Psyco and PyPy. How they came about, what's the idea behind each of them and how they relate to each other.

The podcast is from April and in my opinion paints a somewhat rosy picture of these technologies but it's still highly recommended.

Yet another Python web development framework comparison

If you're still sitting on the fence about the right web framework here's another comparison post describing Django, Pylons and TurboGears.

Python web development and frameworks in 2007

I don't understand why the poster thinks that the TurboGears community is in 'decline'. All I see is that there are more subscribers on the mailing list than ever (3 times as many as for Pylons).

Google Developer Podcast

The only podcast that I regurarly listen to nowadays is The Java Posse. Recently Google launched a developer oriented podcast called the Google Developer Podcast. Since Dick Wall and Carl Quinn from the Posse are participating in the GDP it's almost like listening to a special edition of the Java Posse. For me this is a very good thing.

When I started going to the gym more I subscribed to tons of different podcasts: Python411, Drunk and Retired (Java), Digg Nation, Floss Weekly, etc. In the long run however I found that most of them are too unprofessional for my taste or don't have the right topics and especially signal to noise ratio. So I ended up listening to them only occasionally and stuck with the Posse in the last few months.

Are there any good developer podcasts you recommend?

Django, TurboGears, Pylons comparison

It doesn't even try to be "scientific" but I still found this comparison of the currently popular Python web frameworks very informative:

Unscientific and biased comparison of Django, Pylons, and TurboGears

Guido's Python 3000 Talk

I somehow missed this talk Guido gave at Google about Python 3000. I found it through StumbleUpon now.

Python web frameworks quote

Reading through the PyCon 2007 notes:

There are more Python frameworks than reserved Python keywords.

Funny because it's true. :)

Open Office and regular expressions

For the first time in my life, I tried to use Open Office for more than 15 minutes. While converting data from an HTML page into a chart I noticed that regular expressions don't seem to work in the Replace part of the Find/Replace dialog.

This must be a joke. My problem is trivial: Convert "8.1 k" into "8100" and "9k into 9000". I can't do it the straightforward way with 2 regular expressions. On an ideological level I'm a big supporter of Open Office, but today all I see is that it's wasting my time. (The corresponding online help for the dialog is not very useful either.)