![]() Julia programs can generate other Julia programs, and even modify their own code, in a way that is reminiscent of languages like Lisp. It’s also possible to interface with Python code by way of the P圜all library, and even share data between Python and Julia. Julia can interface directly with external libraries written in C and Fortran. Julia can call Python, C, and Fortran libraries.You can even do without typing entirely if it isn’t needed in a particular context. You can specify types for variables, like “unsigned 32-bit integer.” But you can also create hierarchies of types to allow general cases for handling variables of specific types-for instance, to write a function that accepts integers without specifying the length or signing of the integer. Julia combines the benefits of dynamic typing and static typing.Julia’s syntax is similar to Python’s-terse, but also expressive and powerful. Quick one-off scripts and commands can be punched right in. Julia includes a REPL (read-eval-print loop), or interactive command line, similar to what Python offers. At its best, Julia can approach or match the speed of C. Julia is compiled, not interpreted. For faster runtime performance, Julia is just-in-time (JIT) compiled using the LLVM compiler framework.Here are some of the ways Julia implements those aspirations: (Did we mention it should be as fast as C?) ![]() We want it interactive and we want it compiled. Something that is dirt simple to learn, yet keeps the most serious hackers happy. We want something as usable for general programming as Python, as easy for statistics as R, as natural for string processing as Perl, as powerful for linear algebra as Matlab, as good at gluing programs together as the shell. ![]() We want a language that’s homoiconic, with true macros like Lisp, but with obvious, familiar mathematical notation like Matlab. We want the speed of C with the dynamism of Ruby. We want a language that’s open source, with a liberal license. ![]()
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