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Julia has been downloaded over 45 million times and the Julia community has registered over 10,000 Julia packages for community use. These include various mathematical libraries, data manipulation tools, and packages for general purpose computing.
Almost everyone should be downloading and using the latest stable release of Julia. Great care is taken not to break compatibility with older Julia versions, so older code should continue to work with the latest stable Julia release.
For example, writing x += 3 is equivalent to writing x = x + 3: julia> x = 1 1 julia> x += 3 4 julia> x 4. The updating versions of all the binary arithmetic and bitwise operators are: += -= *= /= \= ÷= %= ^= &= |= ⊻= >>>= >>= <<=. Note. An updating operator rebinds the variable on the left-hand side.
Pluto.jl is a Julia programming environment designed for learning and teaching, and it is a great way to get started with Julia programming, packages and visualisation. Pluto.jl is easy to install, and you can write interactive documents with no prior experience.
Julia Programming: A Hands-On Tutorial, and Numerical Computing in Julia by Martín D. Maas. Introductory material about Julia, focusing on its use in Science and Engineering. Zero2Hero intensive workshop by George Datseris .
It is multi-paradigm, combining features of imperative, functional, and object-oriented programming. Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming.
The official website for the Julia Language. Julia is a language that is fast, dynamic, easy to use, and open source. Click here to learn more.
The official website for the Julia Language. Julia is a language that is fast, dynamic, easy to use, and open source. Click here to learn more.
The easiest way to learn and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line:
In Julia, a function is an object that maps a tuple of argument values to a return value. Julia functions are not pure mathematical functions, because they can alter and be affected by the global state of the program. The basic syntax for defining functions in Julia is:
