I discovered that a lot of developers were searching, as I did, how to package a JS app. Regarding JXCore, the project was dead. I made many technological tests to see what was the most efficient thing to achieve both packing and efficiency. I finally found Crystal. The second solution seemed crazy to me, but it sounded like a passionate challenge: compiling JS.
I began creating a compiler for JS. I focused on compiling a few JS instructions on Linux, like math operations and logical instructions. Managing non-type variables was also a bit complicated, but I achieved that with time, tests and a multi-pass algorithm. After two weeks of working hard on this project, I started to bench performances, size and time to compile.
And surprise! Performances were impressive. It was a good start, but I was only able to compile JS for my Linux computer. Very quickly after I started this project, a lot of crazy ideas came into my mind, including:. After one month, it became more and more time consuming. To continue this exciting project in addition to my other activities, I tried, with some friends, to make a crowdfunding campaign. Even if it seemed crazy, I wanted to develop a strong community network and complete NectarJS with a lot of libraries and debugging tools, by hiring developers to work on it.
There are two other useful functions that you might see often. The alert function displays a text box with the specified message. JavaScript is everywhere on the web. The interactive elements on this page were implemented in JavaScript, of course.
The first is to directly include the code within the tags: this is called inline JavaScript. The second, more common practice is to include the code in a. Note that in this case, the contents of the script tag should be empty. You can try it youself on this page. View the source of this page and see if you can find the inline and linked JavaScript code. JavaScript is most often run on webpages inside the browser, but it can also be run server-side. We will go through some of these platforms later.
For now, we will run JavaScript in the console, which will allow us to see the results of our code more quickly. The nice thing about interpreted languages is that they are designed to be run with a single pass through the source code, running each instruction step-by-step. That means that we can give the interpreter a single step and ask it to run it. There are a number of JavaScript consoles that allow us to do this.
Most browsers have one available. Think of it as a command-line interface that runs JavaScript on your JavaScript engine. Behind the console is the read-eval-print loop REPL. This refers to the loop that the console runs: it first reads your input, then it evaluates it as JavaScript code, then it prints the results. You will sometimes hear the term REPL being used to refer to any sort of programming shell that allows you to enter code and see results immediately.
JavaScript prints the correct answers back at you. Congratulations, you can now use your computer as a very expensive calculator. Now try to run the hello world program in the console. It produces two lines of output. Collectives on Stack Overflow. Learn more. Asked 12 years, 4 months ago. Active 5 years, 3 months ago. Viewed 28k times. Improve this question. Deduplicator Were you talking about JScript. I do ask a small clarification: By "native machine code compiler", do you mean a compiler that takes a Javascript program and produces an executable Static Compilation , or do you just mean is it all possible to translate javascript code to machine code at all For example the JIT compilers in Tracemonkey Firefox and V8 Chrome will produced native machine code from currently executing javascript, so it doesn't have to interpret them multiple times.
I'm asking for static compilation. Shimmy: No. It's not statically compiled. Add a comment. Active Oldest Votes. Improve this answer. Derek Mahar 26k 39 39 gold badges silver badges bronze badges. Falaina Falaina 6, 27 27 silver badges 31 31 bronze badges. RPython is not statically compiled per se, instead, RPython program is started in regular CPython , and a snapshot of all the objects currently in memory is taken.
That ensures all type specialization etc is already done. That also means RPython program input is severely restricted, e. There are several JavaScript-to-C compilers , but they usually work with only a statically-typed subset of JavaScript. Why would you want to, though? What advantage do you expect to find? Stobor Stobor It's just out of curiosity. I like javascript a lot.
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