How python uses Type hints

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Type hints

Python is a dynamically typed language. You do not need to specify a data type when defining variables, functions, classes, and so on. This allows for fast development time. However, there is nothing more annoying than run-time errors caused by simple input problems.

Starting with Python 3.5, you can choose to provide type hints when defining functions.

Def addTwo (x: Int)-> Int: return x + 2

We can also define type aliases.

From typing import ListVector = list [float] Matrix = list [vector] def addMatrix (a: Matrix, b: Matrix)-> Matrix: result = [] for iLeary in enumerate (a): result_row = [] for j, col in enumerate (row): result_row + = [a [I] [j] + b [I] [j]] result + = [result_row] return resultx = [1.0,0.0], [0.0] 1]] y = [[2.0,1.0], [0.0,2.0]] z = addMatrix (x, y)

Although not mandatory, type comments can make your code easier to understand.

They also allow you to use type checking tools to capture stray TypeError before running. This is useful if you are working on large, complex projects!

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