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DIFFERENT NUMBERS IN DIFFERENT LANGUAGES FULL
This pattern of creating specialized objects instead of full arrays is used frequently, and is also seen in functions such as range, or with iterators such as enumerate, and zip. An AbstractRange object will act like a normal array in most cases but is more efficient because it lazily computes its values. Generally, there is no need to call collect though. To construct a full vector like in MATLAB, use collect(a:b). In Julia, a:b and a:b:c construct AbstractRange objects.To construct block matrices (concatenating in the first two dimensions), use either hvcat or combine spaces and semicolons ( ).To concatenate in the second ("horizontal") dimension use either hcat(x,y,z) or separate with spaces ( ).To concatenate in the first ("vertical") dimension use either vcat(x,y,z) or separate with semicolons ( ).In Julia, will always construct a 3-element array containing x, y and z.For example, rand(N) makes a 1-dimensional array. Julia has true one-dimensional arrays.Instead, users can use optional and keyword arguments to achieve similar capabilities. MATLAB's nargout, which is often used in MATLAB to do optional work based on the number of returned values, does not exist in Julia. 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.
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If a function modifies an array, the changes will be visible in the caller.
DIFFERENT NUMBERS IN DIFFERENT LANGUAGES CODE
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.