I am going to be a bit blunt. Don't get offended. >> Also the first thing any newbie to python asks me is abt "raw speed in >> comparison with similar languages like perl" when i advocate python to perl.
Judging by your other posts, you are a newbie yourself. You are not really in a position to 'advocate' any language over others. >> I agree that python emphasizes on readability which i didnt see in many of >> the languages, but when the application concern is speed, does it mean that >> python is not yet ready? even most of the googling abt python vs perl >> convince me that perl is faster than python in most of the aspects. One does not compare speed when they use Perl/Python/Ruby/Tcl. They are all more or less in the same performance ball park. Next don't make up your own benchmarks and jump to conclusions. Writing good benchmarks is an art. If you need data, look at peer reviewed benchmarks such as this one. http://shootout.alioth.debian.org/ As with all benchmarks, it is really hard to make general conclusions. And you are simply looking at the wrong issue. Even if Python is 20 times slower than it's current implementation, it would still serve my purposes. Do you believe that you need more speed? Tell us what is it exactly that you are building and we will tell you what to do. Fetishes with Speed and executable size are very common for young newbies. I know because I had been there myself several years ago. Python has been more than ready as far as speed goes. Real people, real enterprises have been using Python in high load applications for quite a while now and there is nothing really left to proove. People have written entire application servers and databases in Python. I taught myself atleast half a dozen ways to write native extensions for Python, just in case. In the past 4 yrs or so that I have been using Python as my main language, I did not need to speed up my Python program even once with a custom extension. And I process multi giga byte data sets. Why? Because, if your program is slow, chances really are that your algorithm is slow, not the language. And most of the Python modules that are available that need speed (GUIs, image processing etc), are already written in C so that you, as a user, don't have to worry. Just get over your imaginary need for speed and learn to use Python for what it is intended. Once again, post your actual application need, not vague requirements with artificial conditions (I don't want C modules). You said, elsewhere that you are writing a web application. People have been using CGI, which has a terrible performace record for decades on very slow machines compared to modern PCs. My point is, web applications, "generally" aren't exactly the kind of applications that have a lot of computational overhead, atleast not from the logic that runs your site and is likely to be written in Python. -- http://mail.python.org/mailman/listinfo/python-list
