Explicit type conversion involves the use of a function to convert datatypes of a value. True/false...
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Explanation:
Data Types in Python
Before we begin our discussion on type conversion in Python, let’s take a brief look at all data types present in this language:
Integers
Integer values can be as long as you want. Like in mathematics, integers in Python are digits too. But you can’t have indefinitely long integers unless you have a supercomputer. Python treats any number without a prefix as an integer. These numbers include decimal digits too.
Floating Point Numbers
Floats in Python are numbers that are written with a decimal point for separating the fractional digits and the integer. Some examples of floating-point numbers are 4.3, 9.18, etc. You can add ‘e’ for the scientific notation in Python as well.
Complex Numbers
Complex numbers in Python follow this format: (the real part + the imaginary part). Some examples of complex numbers are (3+2i), (8-2x), etc.
Strings
Strings can be any particular set of characters in Python. They are referred to as str. You can write them by using quotation marks. You can use single quotes as well as double quotes for writing strings in Python. Strings can be any characters placed in quotation marks such as ’91’, “hello”, etc.
Just like integers, there is no limit to character length in strings. Strings are of various types, such as triple-quoted strings, raw strings, and many others. However, if we would start discussing strings and their kinds, this article will go too long.
Boolean Data Type
The final data type we have left to discuss is the Boolean data type. Boolean data can have one of two values, which are true and false. Boolean values are quite essential in Python for many reasons. You can use Boolean values to determine the truthiness of objects and values.