When comparing Scratch vs Julia, the Slant community recommends Scratch for most people. In the question“What is the best programming language to learn first?” Scratch is ranked 16th while Julia is ranked 22nd. The most important reason people chose Scratch is:
Code is represented as [visual building blocks](http://www.instructables.com/id/How-to-use-Scratch/) that makes it easy to understand how a program is put together.
Ranked in these QuestionsQuestion Ranking
Code is represented as visual building blocks that makes it easy to understand how a program is put together.
Pro Easy to learn
Scratch is designed to teach computational thinking rather than focus on specific syntax. It was designed specifically to be easy to learn for anyone over the age of 8.
Pro Great starting point for kids
Scratch was developed specifically for kids ages 8 and up as an exciting way to introduce them to technology. It's designed to be easy to learn, but still provides good depth in computational thinking.
Pro No need to be able to type
Pro Can be used to create games
Pro Highly structured
The language is highly structured. Therefore, it gives you the essentials of how to think like a programmer and teaches you good programming practices from early on, so you could write clean, working and readable code in the future.
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 Almost as fast as C
Julia runs almost as fast as (and in fact in some cases faster than) 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 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 Powerful n-dimensional arrays
Julia has built in n-dimensional arrays similar in functionality as Python's numpy.
Pro Function and operator broadcasting
You can perform operations on scalars, for example 2^2 or [1, 2, 3].^2.
Pro Function overloading
You can have multiple functions with the same name, but doing different things depending on function arguments and argument types.
Pro Amazing learning curve
Julia requires no boilerplate code – a beginner needs to write only the parts they care about. This combined with the REPL provides the best learning experience available.
Pro High-level code
Julia provides a high level of abstraction, making platform-independent programming trivial and easing the learning curve.
Con Won't get you a job
Scratch is not a language used in the workplace. Instead it teaches computational thinking, helping to create a foundation to aid in learning other languages.
Con Does not teach you programming
Learning Scratch might help you if you have high difficulty with logical thinking. However, starting with a proper programming language, especially an easy one, will give you the benefits of starting with something like Scratch and everything else.
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 comes from Matlab, but makes it unnatural to interface C and C++ and python.