Guido van Rossum Interviewed

Qa1 writes "Guido von Rossum, creator of Python, was recently interviewed by the folks at O'Reilly Network. In this interview he discusses his view of the future of Python and the Open Source community and programming languages in general. Some more personal stuff is also mentioned, like his recent job change (including the Slashdot story about it) and a little about how he manages to fit developing Python into his busy schedule."

Comments

Re:Can anyone

[Telex4]

Compared to the other "scripting" languages I know (Perl, Bash, PHP, so fairly limited), Python has a few major differences:

o Python uses indentation to denote code blocks, rather than curly brackets {} or other methods. This, along with a few other layout rules, makes Python code very strictly laid out. This makes it both easy to read and code, and you really don't miss being able to use your own crazy layouts (ahhh, perl ;)

o Python is totally object orientated, and very intelligently designed in this department. Whereas in Perl (5) you have to jump through hoops to create objects, especially OO modules, in Python it's as easy as assigning a variable a new value.

o Python has quite a few very useful built in object types, including strings, ints, floats, lists, tuples, dictionaries, functions, classes, and more. This makes things easy if you don't want to make complex matrices. It is also easy to make more complicated types by embedding C...

o It is really easy to embed C/C++ code in Python, and vice versa, so where Python suffers on performance you can boost it with C/C++, or use a Python tool appropriately called "boost"

Generally, Python is very handy for anything from one-time dirty scripts to full applications (there are some good GUI toolkit ports about.. PyGtk, PyQt, PyKDE, wxWindows, etc), and is also very handy when developing prototypes.

But what really makes me like Python (as I'm not a language nerd by any measure) is that it is just *easy* and *fast* to code in... it doesn't get in your way.

(Pimping out...)

Re:Can anyone

[JanneM]

Depends on what you mean.

Python, Perl and Ruby are all very good interpreted, flexible, rapid-prototyping languages. They all have their relative strengths and weaknesses, but all are good enough that if you are choosing between them, it boils down pretty much to your own preferences and what coworkers and other people around you use (or on what animal you prefer on the cover of your reference literature:) ).

If you mean this class of languages as opposed to C, C++, Java and so on, well, it becomes a matter of what you want to accomplish. The great benefits of these interpreted languages are that they make development very fast, compared to the more traditional languages (yes, Java is interpreted, but it is still designed as a traditional language). You spend more time solving your task and less time managing the mechanics of development. Also, they really make use of the benefits of being interpreted with things like closures, dynamic code evaluation and so on. And they typically have very complete, transparent access to the surrounding system - why spend two days writing some hairy functionality when you can trivially filter your data through an external application that already does the whole job for you? Do not underestimate "scripting type glue".

They do make a pretty good fit running large systems - the Swedish pension management system is all written in Perl, for instance, and Zope is written in Python. They are also quite efficient; they are on the whole as fast as a Java implementation, and occasionally (when the task plays to the specific language's strengths), quite a bit faster.

I typically use C/C++ and Perl for development, and every time I've been using Perl for a while, I get bouts of frustration with traditional languages for the lack of such things as hash datatypes and inline regular expressions. But for some tasks, traditional languages are the way to go.

Re:Is Python still lacking a macro system?

[fredrikj]

Any real geek knows that a language that isn't self-extensible through its macro system (ala Lisp, Scheme, Dylan) is just plane lame. :-)

You don't need macros since Python is dynamically typed and even functions are first-class objects. At least I know I never missed the C preprocessor after moving to Python :P

I assume that Python is still not efficiently compilable either, right?

Not quite. There is however a dynamic compiler called Psyco, which works by creating static versions of functions at run-time to reduce type-checking.

My own experience is that Psyco makes Python code about 400% faster in real applications. Still an order of magnitude worse than C, but comparable to or better than other languages when it comes to tasks that Python used to do significantly slower.

Re:Can anyone

[ultrabot]

I typically use C/C++ and Perl for development, and every time I've been using Perl for a while, I get bouts of frustration with traditional languages for the lack of such things as hash datatypes and inline regular expressions.

I'm a professional C++ programmer, and a devout pythonista. What I miss most in C++ are the easy-to-instantiate datatypes like tuples. It's so much easier to pass a relatively simple datatype as a tuple, as opposed to introducing a whole new class and even *gasp* a new file to do the trick.

For example I can trivially code a function that returns an array of (name, address) tuples, and I can easily manipulate such an array:

tuples = get_address_entries()
for name,address in tuples:
print name,"lives in",address

After doing Python for a while, one sees how much static typing gets in your way of doing things the "proper" way, and very often one tries to avoid doing the damn thing at all... resulting in a sub-optimal design. Python allows you to be all you can be :-)