Forwarding since I assume this was meant to go
to either the list or the OP, rather than
just me...
Alan Gauld
Author of the Learn To Program website
http://www.alan-g.me.uk/
>
>----- Forwarded Message ----
>From: Samuel de Champlain <samueldechampl...@gmail.com>
>To: Alan Gauld <alan.ga...@btinternet.com>
>Sent: Sunday, 31 January, 2010 14:40:36
>Subject: Re: [Tutor] Future of Python Programmers
>
>In order to get faster programs, you have to become more machine specific. If
>you want your program to work on several machines, you must include more code
>for each possible machine architecture. Python and java try to realise the old
>dream of coding once and running everywhere, therefore they have to be slower
>in execution, but with the speed of modern machines, this becomes less
>important.
>>However, they are fantastic rad (rapid application development) languages.
>>Time to market and therefore cost is greatly reduced and that is the main
>>reason they are widely used. Try debugging c and you will learn to appreciate
>>garbage collectors and the lack of pointer headaches in python.
>>But that is just one person's opinion.
>
>
>On Sun, Jan 31, 2010 at 4:26 AM, Alan Gauld <alan.ga...@btinternet.com> wrote:
>
>
>>>>"nikunj badjatya" <nikunjbadja...@gmail.com> wrote
>>
>>
>>>>>I have one important question to ask to all of you,
>>>>>>I am a fresher, recently completed my graduation, had started working on
>>>>>>python 2 months back..!! and I just fell in love with the language.
>>>>>>The only concern is there arent enough companies which work on Python.
>>>
>>>>How many companies do you need?
>>>>One is enough if you fork for that one...
>>
>>
>>>>>Is there any chance where the development of Python will make it as fast as
>>>>>>C++ or JAVA, (or it is at its optimum level? ) .
>>>
>>>>No, just as there is no chance that Java will ever be as fast
>>>>as C++ or C++ as fast as C or C as fast as assembler.
>>>>You can construct test cases where they approach each other
>>>>but raw speed is related to how close you can get to the machine.
>>>>The trade off is that raw speed requires guru level skill and a lot of
>>>>development time. So if you measure speed in terms of productivity
>>>>Python is already faster than Java!
>>
>>>>But your concerms are misplaced.
>>>>All programming languages (except perhaps COBOL and FORTRAN)
>>>>come and go. When I left university (mid 1980's) everyone was using
>>>>Pascal and C. ADA and Prolog were the forecast kings of the block
>>>>and a few people were playing with Smalltalk.Then Windows came out
>>>>and C++ suddenly took over. Then it was Java.Then scripting languages
>>>>became poular. I don;t know what we will be using in 20 years time but
>>>>it probavbly won't be Java or C++ or even Python.Get used to it, as a
>>>>professional you will learn and use many languages (I know over 20 that
>>>>I've used in real projects, and probavbly another dozen that I studied
>>>>just for the knowledge they gave). Languages are just not that important.
>>
>>>>Stop fiocussing on languages, start to focus on the deeper
>>>>fundamentals of programming. Design, architecture, state, data
>>>>structures, logic coupling, cohesion, concurrency etc
>>>>These things do not change.
>>
>>>>--
>>>>Alan Gauld
>>>>Author of the Learn to Program web site
>>http://www.alan-g.me.uk/
>>
>>
>>
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>>
>
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