Comments on: A big list of programming languages

By: Design Issues in Modern Programming Languages (Modern Programlama Dillerindeki Tasarım Sorunları) | Ahmet Alp Balkan : Blog

Sun, 28 Feb 2010 19:34:26 +0000

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By: G. Gilbert Vaughan

G. Gilbert Vaughan — Fri, 05 Feb 2010 12:20:33 +0000

I’m half-heartedly looking for a language just like Quick Basic – or qB45 – but which can make more use of the graphics card (640×480, 16 colour limit currently), and/or makes use of the sea of “Windows” RAM, rather than just the 640k of “base memory”.
Just (merely !) a “qB45″ which wasn’t knobbled in graphics by XP o/s, would be a great leap forward.
Oh father hear my prayer for I am quite useful with it !!

By: ritika

ritika — Thu, 13 Nov 2008 06:02:04 +0000

what is the use of various built in functions un the programming language BASIC

By: Jon Harrop

Jon Harrop — Sun, 09 Nov 2008 15:58:34 +0000

OCaml and F# are both much more heavily used by scientists than many of the languages on your list (e.g. IDL, Lisp, Perl and Shell). Their combination of high performance and interactivity makes them ideal for scientific computing.

By: Steve Lianoglou

Steve Lianoglou — Thu, 18 Sep 2008 15:44:43 +0000

I think it’s worth mentioning under the Python section that there exists libraries that make its use very amenable to scientific programming.

I’m specifically talking about numpy, scipy, and matplotlib (and IPython).

NumPy is a library that makes working w/ arrays pretty much as easy as MATLAB.

SciPy is a library that is based on numpy and adds lots of stuff handy for scientific programming.

Both are available through: http://scipy.org

Matplotlib is a very capable plotting library that makes interacting/viewing your data quite easy (like in MATLAB/R). It is available on sourceforge: http://matplotlib.sf.net

Lastly, IPython is the python interactive shell on steroids. It’s a must have when interacting with your program/data as you write it:

http://ipython.scipy.org/moin/