On Jul 24, 5:19 am, [EMAIL PROTECTED] wrote: > There are various things I like about the D language that I think > Python too may enjoy. Here are few bits (mostly syntactical ones): > > 1) (we have discussed part of this in the past) You can put > underscores inside number literals, like 1_000_000, the compiler > doesn't enforce the position of such underscores, so you can also put > them like this: 1_00_000. You can put them in literals of decimals, > binary, hex, etc. I think it's quite useful, because when in Python > code I have a line like: > for i in xrange(1000000): > I need some time to count the zeros, because the lower levels of my > visual systems can't count/group them quickly (perceptually). While in > a syntax like: > for i in xrange(1_000_000): > my eyes help me group them at once. > > 2) Base 2 number literals, and base 2 "%b" printing with the writefln. > Base-2 numbers are less common in Python code, but once in a while I > use them. For example: > import std.stdio; > void main() { > auto x = 0b0100_0011; > writefln("%b", x); > writefln("%.8b", x); > writefln(x);} > > Prints: > 1000011 > 01000011 > 67 > > 3) All string literals are multi line. So you can write: > a = "how are > you"; > There's no need for """ """. > > 4) With D I have created an xsplit() generator, and from my tests it's > quite faster than the split(), expecially if the string/lines you want > to split are few hundred chars long or more (it's not faster if you > want to split very little strings). So I think Python can enjoy such > string method too (you can probably simulate an xsplit with a regular > expression, but the same is true for some other string methods too). > > Bye, > bearophile
I think there is a language bridge so that you can compile d for python.. looks realy easy but I have python 2.5 and panda and it try's to go for the panda instalation. It looks much easier than c to use with python in fact.. I don't know if that would change the speed of it though to be in a library. https://sourceforge.net/projects/dex-tracker -- http://mail.python.org/mailman/listinfo/python-list