Tip: you can use the type() function in Python to check the data type of an object. Implicit conversion or coercion is when data type conversion takes place either during compilation or during run time and is handled directly by Python for you. In the former case, you're performing an explicit data type conversion, whereas, in the latter, you're doing an implicit data type conversion. Implicit and Explicit Data Type Conversionĭata conversion in Python can happen in two ways: either you tell the compiler to convert a data type to some other type explicitly, or the compiler understands this by itself and does it for you. To learn more about them, be sure to check out DataCamp's Data Types for Data Science Course. You can use lists, tuples, dictionaries, and sets, which are data structures where you can store a collection of values. You have integers and float to deal with numerical values, boolean ( bool) to deal with true/false values and strings to work with alphanumeric characters. You must have already seen and worked with some of them. In data science, you will often need to change the type of your data so that it becomes easier to use and work with. The type defines the operations that can be done on the data and the structure in which you want the data to be stored.

Data types are a classification of data that tells the compiler or the interpreter how you want to use the data.

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