The next software I wanted to write was desktop software. As much as I like the Apple ecosystem, I can only reach 50% of mobile users and less than 4% of desktop users by writing Swift code. That being the case, the issues with only knowing Swift were also becoming glaringly apparent. Once I became engrained with thinking in code, all the possibilities of what I can do with the skill became glaringly apparent. In Swift, there are times when using a specific element of the language is more efficient than it's equivalent element in Python.There’s this thing now though. Peryton will be developed to do this through a process called Flow_Analysis, that determines the connections between functions, classes, objects and other parts of a program. However, one can theoretically infer from the structure of a function or program if a variable has the need for being protected. Where changing the let constant causes an error. In Swift, you can declare variables and constants: Fortunately, Peryton handles this issue by type-testing the input of functions, as well as object attributes. The first and foremost one, is the lack of type safe practices in Python, where you do not specify the type being passed into a function and the type being returned. Transpiling Python to Swift does raise a number of issues in the process. You can convert your favorite Python modules/documents to Swift code to use in your IOS/ OS X applications.You can make use of the Swift language without having to learn it's syntax, rules etc.You can write IOS/OS X applications use Python.The major advantages of using Peryton are: It can accept native Python code, parse it, and translate that code to the equivalent code in swift.
Peryton, named after the mythological deer that has the wings of a bird, is a Python to Swift Transpiler.
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