But Python was adressed to everyone, and in a decade became the number one scripting language in terms of popularity.įuture I am not trying to speculate, the point of Python was made, today older languages are trying to copy Python features, while new languages develop that are grown from Python concepts and will ultimately compete for broad audiences.
When Python started Perl dominated text processing, R dominated open source statistics computing and Javascript dominated the web. R also developed as an opensource alternative to SAS, a language used in statistics. Many sequencing libraries were developed into or integrated Perl. However, Perl came first and had an intently obfuscated syntax this is because it was primarily adressed to programmers, who love syntax puzzles. The general purpose languages that stood out were Perl and Python.
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In C it is relatively easy to make mistakes that can damage a hardware, it takes more time to do something if you are not skilled and you write ugly code if you are not talented. It has to do with the lack of time and with safety.
It is difficult to explain why scripting languages became so ubiquitous. Another important changed occured in the manner data structures are managed, some languages alowing the type of an object to be verified and changed during runtime. Languages that are ready to run the moment writing stops are commonly called scripting languages. Meanwhile, languages became more distant to the hardware, becoming interpreted by a an engine that lies between the operating system and the program itself.
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In time as software accumulated and the IT infrastructure evolved languages became specialized, whith languages like C++ and Java controlling the commercial sector while niche languages such as Matlab, R and others were being employed in engineering, statistics respectively. The best surviving dino from that era is probably C, a language that allows you to directly control the memory registry that the processor is using. The first programming languages had a concise syntax and were able to control the computer at a very low level. I can probably hold this course in ten languages, but only in Python I can cover all the subjects in three days. It is adressed to anyone, it is open source, it is short and simple, and yet it introduces the participants to subjects that would otherwise need years to master. The course I am trying to hold is fitting well to the Python creed. A popular source describing Python is the Zen of Python, a collection of 20 aphorisms similar in style to a taoist book, most of whom are adressed towards programers but some are easy to understand by anyone: Beautiful is better than ugly Just like a human language, a computer language is a contaimnent of a certain culture, together with a set of values. The result is that today Python has the most vibrant developer community of all languages, and that fact translates into good libraries and expertise. Many languages tried to open for a wider audience, but none of them had this goal as the primary founding principle. So Python is conceived to be plain and simple, yet allow you to do everything a complex language would.
One doesn't need to beĪ visionary to see the limitations here." To using applications in ways that "programmers" have determined for them. Non-programmers aren't really "empowered" in how they can use their computer: they are confined ".while many people nowadays use a computer, few of them are computer programmers. Here is what Guido van Rossum, the creator of Python, wrote in his funding submission to DARPA, titled Computer Programming for Everybody back in 1999. If you are not a programmer, Python is a language designed for you.
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