The topic of this article is Python data types. Let’s learn about them together. First, we need to understand the definition of Python.
Python data types
In recent years, Python has been known as one of the world’s most widely used programming languages. Everything from machine learning to software testing and website development uses it. Both developers and non-developers can use it.
Data types in Python are the classification of data elements. They are the values that describe the possible operations on a given piece of data. Everything is an object while programming in Python. Therefore, data types are classes, and variables represent the instances (or objects) of them. If you are new to Python, do not forget to visit the learnshareit.com.
Some built-in data types of Python are numeric, boolean, set, dictionary, sequence type, etc. Now, let’s learn each data type together.
Python’s numeric data types are used to represent information using numerical values. Integer, floating, or even complex numbers are numeric values. Python defines these values as belonging to the int, float, and complicated classes.
- Integers: The int class is utilized to represent this value. There are positive and negative whole numbers (without decimals or fractions). An integer value’s length is unrestricted in Python.
- Float: The float class is applied to represent this value. It is a real number expressed as a floating point number. It is specified with a decimal point. The letters e or E may be put after a positive or negative number to indicate scientific notation.
- Complex Numbers: The complex class is a representation of a complex number. (Real portion) plus (Imaginary part)j is the formula of it, for instance, -3+6j.
Boolean contains either True or False. Equal to True Boolean objects are truthy (true), whereas equal to False Boolean objects are false (false). However, non-Boolean items can also be assessed in a boolean context and classified as true or false. The bool class represents it.
Set is an iterable, changeable, unordered collection of data types with no duplicate items in Python. A set may include various pieces, but there is no predetermined order for the elements.
In Python, a dictionary is an unordered collection of data values used for storing data values. In contrast to other data types, which can only carry a single value, dictionaries can also hold a key: value pair. The dictionary comprises key-value pairs to aid in its efficiency. Each key-value pair in a dictionary is separated by a colon, whereas each key is separated by a comma.
Sequence in Python is an ordered grouping of related or dissimilar data types. Sequences enable the ordered and practical storage of several values. In Python, there are various sequence types. For example, Python list, Python string, and tuple.
- String: Collections of bytes that represent Unicode characters are Python strings. A single, double, or triple quote around a group of one or more characters is called a string. There is no character data type in Python; instead, a character is a string of length 1. The class str is used to represent it.
- List: Lists are similar to arrays, declared in other languages, and collect data in an ordered fashion. Since a list’s items do not have to be of the same type, it is immensely flexible.
- Tuple: Similar to list, tuple is an ordered grouping of Python objects. Tuples are immutable or cannot be changed after creation, which is the difference with lists. Tuple class serves as its representation.
That concludes our discussion of Python data types. We hope you find them useful. If you have any problems, please comment below. Thanks!
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