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In Julia, multiple values are returned and assigned as tuples, e.g.As a result, some operations can throw a domain error if they expect a float for example, julia> a = -1 2^a throws a domain error, as the result is not an integer (see the FAQ entry on domain errors for details). In Julia, literal numbers without a decimal point (such as 42) create integers instead of floating point numbers.The imaginary unit sqrt(-1) is represented in Julia as im, not i or j as in MATLAB.Julia has push! and append!, which grow Vectors much more efficiently than MATLAB's a(end+1) = val. Whereas in MATLAB a(4) = 3.2 can create the array a = and a(5) = 7 can grow it into a =, the corresponding Julia statement a = 7 throws an error if the length of a is less than 5 or if this statement is the first use of the identifier a. Julia does not automatically grow arrays in an assignment statement.If a function modifies an array, the changes will be visible in the caller. Julia values are not copied when passed to a function.After A = B, changing elements of B will modify A as well. Julia arrays are not copied when assigned to another variable.Julia arrays are indexed with square brackets, A.The following are some noteworthy differences that may trip up Julia users accustomed to MATLAB: There are major syntactic and functional differences.  Edit on GitHub Noteworthy Differences from other Languages Noteworthy differences from MATLABĪlthough MATLAB users may find Julia's syntax familiar, Julia is not a MATLAB clone. Reporting and analyzing crashes (segfaults).Static analyzer annotations for GC correctness in C code.Proper maintenance and care of multi-threading locks.printf() and stdio in the Julia runtime.Talking to the compiler (the :meta mechanism).High-level Overview of the Native-Code Generation Process.Noteworthy differences from Common Lisp.

Noteworthy Differences from other Languages.Multi-processing and Distributed Computing.Mathematical Operations and Elementary Functions.