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Surely the point is that of a couple of dozen top languages, which span a number of different approaches and features with many varied strengths and some weaknesses, Python has its place? Processor Graphics piriform ccleaner registration name and license key patent Comes with black piriform ccleaner registration name and license key CCleaner Professional Key Free for You. The speed of python is not really relevant in most scenarios as anything cpu intensive can be written as a C extension, with a pythonic API added over the top.
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But Python can be easily used for everything which is normally done in Java. We have detected that you are using AdBlock Plus or some other adblocking software or extension. In order to keep this website free, this site is sponsored in part by advertisements.
Please consider disabling your ad blocker on www. Python is one of the most trusted and a general purpose programming language that has been developed in the year of and named after Monty Python, which is used by hundreds of thousands of people all over the world to do things from testing microchips at Intel and spread different corner of the world.
It empowers Instagram and building video games with Python Game library. Python is one of the most reliable interpreted, object oriented, high quality and level high programming language with dynamic semantics. Python A General Purpose Program Python is a great general purpose programming language, though it is not a scripting language, but it is sued widely as for scripting language.
Both Python as well as Java are strongly interpreted during runtime. There are strong program but many of them are small and not more than lines. And I shouldn't need to reformat it in order to read it].
The most readable style of all is Allman Style. It has a lot of white space in it, which means that you can clearly see where the boundaries are. It works best if you enforce curly braces around things like this:.
A coder might not like it because it "takes up too much space on the screen" but too bad. For someone skimming code [not reading every! Oh yeah, no hard tabs either. Then your tab settings won't affect what it looks like That would be me.
I was originally a programmer by training, but it's now an occasional part of the job. Sure, I recently learned some Java for a specific set of tasks nice enough language, btw, but Python is becoming the language I use when I just want to get stuff done.
I'm not sure if it's a good language for the beginner though. Call me old fashioned, but a good set of training wheels should be strongly typed. Have long since removed the offending line, Don't need that amount of suffering in my life.
As a non-professional programmer who, every now and then, has to knock something together to accomplish a repetitive, long or tedious process, I love that aspect of Python. I don't code regularly enough for huge chunks of the syntax, outside of the basics such as conditionals, loops, functions, etc to stick in my brain.
But, most of the time, I can pretty much cobble together something that works well enough for my needs in pretty short order, because the syntax is so straightforward and there are usually already lots of modules out there which do all the things I need to do.
Very often, all I'm left with is the task of lashing a couple of modules together with string and sealing wax and setting it running. Python's a great language for people who aren't programmers and never intend to become full-time programmers.
I'm a systems engineer; I can knock shit together in Python fairly quickly and easily. I know network engineers who learn it. Hell, I know architects - not systems architects, actual building architects - who have learned a bit of python to help with scripting in Revit.
Actual programmers who specialize in Python as their main job? And this is precisely the demographics which you'd expect to see lots of posts on Stack Overflow from - people with no formal training in coding, looking to do small things in addition to a main job that has little to do with writing programs, who lack the tools to work out how to do various things for themselves.
There are a fair amount of scientists and engineers with gravitons to detect and medicines to design, etc, that use Python because the easy learning curve leaves them room to think more of their problem and its solution, rather than needing to become computer scientists and so asking your famed "difficult" stackoverflow questions.
Well this is just wrong. Python's ease of use for the novice is a benefit for the pro as well. It is an extremely expressive language that allows you to write a lot of functionality with a small amount of code.
You can prototype faster in python, and the expressiveness means that refactoring is simple and, if following the pythonic style, simple. The speed of python is not really relevant in most scenarios as anything cpu intensive can be written as a C extension, with a pythonic API added over the top.
This usually makes the underlying library much easier to use, for instance it is much easier less typing and clearer to the reader to write XML and XPath manipulations using the python lxml library than it is to use libxml2 in C, but the speed of operation of both is virtually identical - python is just the plumbing around the boiler.
I don't think the criticism of the python open source libraries is particularly fair, as it applies to all languages with lots of open source libraries; you have to assess the quality and reliability yourself before using it.
There are a lot of rubbish ones, but there are a lot of good ones also. The term "pythonic"; lots of people don't seem to like it, but this is what it stands for verbatim from the language spec:. OOh I loved Clipper..
I'm sure the comp-sci crew on here will be running for their pitchforks screaming "injection risk" but the ability to have scraps of code as text in the database which can be read in, dropped into a code block and executed was wonderful.
Multidimensional nested non typed arrays that could be constructed at run time, mimicing the discovered data structures not just parent child but multiple childrren as you walked the tables. I've often wondered just how much xBASE code is out there in The problem seems to be that xBASE applications have lots of names like the list in your original comment.
There are quite a few others: IMHE there is a lot of x base code still out there. So it's great because it was accessible to many people while simultaneously not being great for the same reason Cross platform, 32 bit and 64 bit.
What's not to like. Harbour deserves to be better known. I've taken a couple of python courses just because it was something I didn't know. Both of them suggested stack overflow as a good place to ask questions.
One might well wonder if 15 million Raspberry Pis has anything to do with the popularity and spread of Python. The Pi is what finally pushed me into using Python. I then discovered Python is an excellent "write once, run anywhere" environment; just copy the source code over and, as long as Python and any required libraries are installed, it mostly just works.
There are a few platform specifics but not that many and not that hard to overcome. It's not perfect; forgetting a closing parenthesis on one line can cause a misleading and time consuming syntax error on the next, a simple typo in a variable assignment can sometimes be hard to chase down, not throwing the error until run-time can be annoying.
Because of those and other debugging issues I am not convinced it's a great beginner's language. Does anyone else feel like smirking cynically every time they hear the phrase "fastest growing"? Even worse of course is "We're one of the fastest growing It's used whenever marketing types need to hype up their product but cannot claim it's the biggest or most popular.
I mean, "one of the fastest growing" is basically meaningless. Even "the fastest growing" is meaningless if you don't know the context. When Python was brand new and went from zero users to one, that's an infinite rate of growth.
Why stop at "fastest growing"? If you can't claim that about your product, how about "it boasts one of the highest second derivatives of growth rate". I think I'd argue that the initial number of Python users was one, not zero, since it is a bit silly to assert that there are no users yet of a language that doesn't exist yet.
This approach also means that languages designed by committee experience slower initial growth than languages created by individuals, which strikes me as karma in operation right from the start. Actually, the stats mean that Python is so crap that people have to ask lots of stupid questions.
I hope my own personal efforts have contributed to this in some small way. It'll teach them good indenting habits. So far as I'm concerned, being a good n00b language is nothing to be ashamed of.
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I was originally a programmer by training, but it's now an occasional part of the job. Sure, I recently learned some Java for a specific set of tasks nice enough language, btw, but Python is becoming the language I use when I just want to get stuff done.
I'm not sure if it's a good language for the beginner though. Call me old fashioned, but a good set of training wheels should be strongly typed. Have long since removed the offending line, Don't need that amount of suffering in my life.
As a non-professional programmer who, every now and then, has to knock something together to accomplish a repetitive, long or tedious process, I love that aspect of Python. I don't code regularly enough for huge chunks of the syntax, outside of the basics such as conditionals, loops, functions, etc to stick in my brain.
But, most of the time, I can pretty much cobble together something that works well enough for my needs in pretty short order, because the syntax is so straightforward and there are usually already lots of modules out there which do all the things I need to do.
Very often, all I'm left with is the task of lashing a couple of modules together with string and sealing wax and setting it running. Python's a great language for people who aren't programmers and never intend to become full-time programmers.
I'm a systems engineer; I can knock shit together in Python fairly quickly and easily. I know network engineers who learn it. Hell, I know architects - not systems architects, actual building architects - who have learned a bit of python to help with scripting in Revit.
Actual programmers who specialize in Python as their main job? And this is precisely the demographics which you'd expect to see lots of posts on Stack Overflow from - people with no formal training in coding, looking to do small things in addition to a main job that has little to do with writing programs, who lack the tools to work out how to do various things for themselves.
There are a fair amount of scientists and engineers with gravitons to detect and medicines to design, etc, that use Python because the easy learning curve leaves them room to think more of their problem and its solution, rather than needing to become computer scientists and so asking your famed "difficult" stackoverflow questions.
Well this is just wrong. Python's ease of use for the novice is a benefit for the pro as well. It is an extremely expressive language that allows you to write a lot of functionality with a small amount of code.
You can prototype faster in python, and the expressiveness means that refactoring is simple and, if following the pythonic style, simple. The speed of python is not really relevant in most scenarios as anything cpu intensive can be written as a C extension, with a pythonic API added over the top.
This usually makes the underlying library much easier to use, for instance it is much easier less typing and clearer to the reader to write XML and XPath manipulations using the python lxml library than it is to use libxml2 in C, but the speed of operation of both is virtually identical - python is just the plumbing around the boiler.
I don't think the criticism of the python open source libraries is particularly fair, as it applies to all languages with lots of open source libraries; you have to assess the quality and reliability yourself before using it.
There are a lot of rubbish ones, but there are a lot of good ones also. The term "pythonic"; lots of people don't seem to like it, but this is what it stands for verbatim from the language spec:.
OOh I loved Clipper.. I'm sure the comp-sci crew on here will be running for their pitchforks screaming "injection risk" but the ability to have scraps of code as text in the database which can be read in, dropped into a code block and executed was wonderful.
Multidimensional nested non typed arrays that could be constructed at run time, mimicing the discovered data structures not just parent child but multiple childrren as you walked the tables. I've often wondered just how much xBASE code is out there in The problem seems to be that xBASE applications have lots of names like the list in your original comment.
There are quite a few others: IMHE there is a lot of x base code still out there. So it's great because it was accessible to many people while simultaneously not being great for the same reason Cross platform, 32 bit and 64 bit.
What's not to like. Harbour deserves to be better known. I've taken a couple of python courses just because it was something I didn't know. Both of them suggested stack overflow as a good place to ask questions.
One might well wonder if 15 million Raspberry Pis has anything to do with the popularity and spread of Python. The Pi is what finally pushed me into using Python. I then discovered Python is an excellent "write once, run anywhere" environment; just copy the source code over and, as long as Python and any required libraries are installed, it mostly just works.
There are a few platform specifics but not that many and not that hard to overcome. It's not perfect; forgetting a closing parenthesis on one line can cause a misleading and time consuming syntax error on the next, a simple typo in a variable assignment can sometimes be hard to chase down, not throwing the error until run-time can be annoying.
Because of those and other debugging issues I am not convinced it's a great beginner's language. Does anyone else feel like smirking cynically every time they hear the phrase "fastest growing"? Even worse of course is "We're one of the fastest growing It's used whenever marketing types need to hype up their product but cannot claim it's the biggest or most popular.
I mean, "one of the fastest growing" is basically meaningless. Even "the fastest growing" is meaningless if you don't know the context. When Python was brand new and went from zero users to one, that's an infinite rate of growth.
Why stop at "fastest growing"? If you can't claim that about your product, how about "it boasts one of the highest second derivatives of growth rate". I think I'd argue that the initial number of Python users was one, not zero, since it is a bit silly to assert that there are no users yet of a language that doesn't exist yet.
This approach also means that languages designed by committee experience slower initial growth than languages created by individuals, which strikes me as karma in operation right from the start.
Actually, the stats mean that Python is so crap that people have to ask lots of stupid questions. I hope my own personal efforts have contributed to this in some small way. It'll teach them good indenting habits.
So far as I'm concerned, being a good n00b language is nothing to be ashamed of. Python was my first language, and since I'm not a professional coder it's still my most used. I think it's been a wonderful language to learn with, and has some truly wonderful mechanisms that make many things easy.
That said, I don't like using it for moderately sized programs i. A better IDE might help with that. Also decent error-checking such as gcc does - which presumably is difficult or impossible to do in Python - makes finding some types of bugs much easier.
Alternative headline that StackOverflow could have come up with: Python is the hardest programming language around, and it's getting harder. Somewhere in the middle he's got a plot of programming language references from science papers and Python takes off massively somewhere around Personally, I do not like dynamic languages.
I would rather use something that has static type checking so that errors are found at compile time rather that at runtime. Both Python as well as Java are strongly interpreted during runtime.
There are strong program but many of them are small and not more than lines. If you like to learn a general purpose programming language that is useful for all types of programming mixing including the scripting language for better and quick web development, then Python is the best choice for you.
The Difference between Scripting Language and Python There is difference between scripting language and programming language like Python, but the background is same that is coding the lines to instruct the computer to create something logical.
Though, there must be a theoretical difference. The major benefit of using Python is mixing the language with other languages. It can be general purpose programming or any scripting languages for quick and easy web development.
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