When comparing PHP vs Julia, the Slant community recommends Julia for most people. In the question“What is the best programming language to learn first?” Julia is ranked 25th while PHP is ranked 30th. The most important reason people chose Julia is:
Julia runs almost as fast as C code.
Ranked in these QuestionsQuestion Ranking
Pro One of the most common languages
According to the 2015 Stack Overflow Developer Survey (26,086 people surveyed), PHP was the 5th most popular/used language at 29.7%.
Pro Lots of tutorials online
Pro Used by most common CMS platforms
Many clients are looking for an easy-to-update web site that's flexible and free. Drupal and Wordpress fill those needs very well.
Pro Most prominent language for web applications
Part of the de facto standard web application stack.
Pro Great third-party package manager
PHP standard library is somewhat subpar, but if you need plugins, language features, composer has them all( you can even puzzle together a custom framework from composer).
Since 7.x was released, PHP has become a pretty fast language.
Pro Lots of PHP frameworks available which help with development
PHP people love frameworks, and with frameworks such as Laravel, you can build a web app or API really fast (Facades, ORMs, scaffolding etc.)
Pro Great documentation
Pro Almost fast as C
Julia runs almost as fast as C code.
Pro Great standard REPL
Out of the box Julia has a very good Read-Eval-Print-Loop, which both completes functions and types, as well as completion based on history of previous statements. It integrates well with the shell and has an excellent online help system.
Pro Nice regular syntax
Julia code is easy to read and avoid a lot of unnecessary special symbols and fluff. It uses newline to end statements and "end" to end blocks so there is no need for lots of semicolons and curly braces. It is regular in that unless it is a variable assignment, function name always comes first. No need to be confused about whether something is a method on an object or a free function.
Unlike Python and Ruby, since you can annotate the types a function operates on, you can overload function names, so that you can use the same function name for many data types. So you can keep simple descriptive function names and not have to invent artificial function names to separate them from the type they operate on.
Pro Strong dynamic typing
Dynamic and high level, but does not isolate the user from properly thinking about types. Can do explicit type signatures which is great for teaching structured thinking.
Pro Written in itself
The Julia language is written in itself to a much larger extent than most other languages, so a budding programmer can read through the depths of the standard library and learn exactly how things work all the way down to the low-level bit-twiddling details, which can be englightening.
Pro Function overloading
You can have multiple functions with the same name, but doing different things depending on function arguments and argument types.
Pro Function and operator broadcasting
You can perform operations on scalars, for example 2^2 or [1, 2, 3].^2.
Pro Powerfull n-dimensional arrays
Julia has built in n-dimensional arrays similar in functionality as Python's numpy.
Con Poorly designed language
Despite its widespread use, PHP is generally looked upon poorly from a design point of view. The consistency of function names and function argument order, lazily and borderline non-functional implementation of object oriented programming, can only receive requests via POST methods, slow version adoption (the PHP you learn right now may not work on every webserver you'll work on), and a focus on "hacking things together" rather than "doing it right". These are all very common complaints when it comes to working with PHP. While not a bad language to learn, PHP is not at all a good language to learn first, as it will probably teach bad habits.
Con Immense catalog of insecure frameworks
The most serious security problems in websites on the web today are almost universally found in popular PHP frameworks, CMS platforms, libraries and code samples, almost all stemming from poor language design, bad tutorials and awful resources.
Con Most tutorials are out of date
A lot of very bad tutorials are still widely circulated among beginners, and these tutorials teach very poor programming practices.
Con Most resources are poorly-written
Few resources exemplify the "correct" or secure use of features.
Con Interpreter being too permissive
If you forget the dollar sign, the variable name will be converted to a string.
Con Young language with limited support
Julia was released in 2012. Due to its short existence, there is a limited amount of support for the language. Very few libraries exist as of yet, and the community is still quite small (though growing quickly).
Con 1-based array and column major
This design probably come from Matlab, but makes it unnatural to interface C and C++ and python.