Data types make programming easier and are more powerful and efficient than most that can be created from scratch. In this article, I’ll walk you through some Python interview questions on data types.
What are Data Types?
A data type is a set of values and a set of operations defined on data. An implementation of a data type is an expression of data and operations in terms of a specific programming language such as Java, C ++, or Python.
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Now before moving to the Python interview questions based on data types let’s have a quick look at the inbuilt data types that we get in the Python programming language:
| Data Types | Examples |
|---|---|
| Numbers | 1234, 3.1415, 3+4j |
| Strings | ‘spam’, “Bob’s”, b’a\x01c’, |
| Lists | [1, [2, ‘three’], 4.5] |
| Dictionaries | {‘food’: ‘spam’, ‘taste’: ‘yum’} |
| Tuples | (1, ‘spam’, 4, ‘U’) |
| Sets | set(‘abc’), {‘a’, ‘b’, ‘c’} |
Python Interview Questions on Data Types
Name four of the main data types in Python
Numbers, strings, lists, dictionaries, tuples, files, and sets are generally considered the main types of data. Types, None, and Booleans are sometimes also classified this way. The integer, floating-point, complex, fraction and decimal are numerical data types and simple strings and Unicode strings in Python 2 and text strings and byte strings in Python 3 are the types of string data types.
Why are these data types known as Python’s core data types?
They are known as the core data types because they are part of the Python language itself and are always available to create other objects, you usually need to call functions in imported modules.
Most of the data types have a specific syntax for generating objects: “spam”, for example, is an expression that creates a string and determines the set of operations that can be applied to it. For this reason, main types are built into Python syntax. Instead, you must call the built-in open function to create a file object.
What does immutable mean and what three types of Python core data types are considered immutable?
An immutable data type is a type of object which cannot be modified after its creation. Numbers, strings, and tuples in Python fall into this category. Although you cannot modify an immutable object in place, you can always create a new one by running an expression.
What does sequence mean and which three types of data fall into this category?
A sequence data type is a collection of objects ordered by a specific position. In Python, Strings, lists, and tuples are the data types based on sequences. The Sequences share common sequence operations, such as indexing, concatenation, and slicing, but also have type-specific method calls.
What does mapping mean and what kind of data type is based on mapping?
The term mapping refers to an object that maps keys to associated values. The Python dictionary is the only type of mapping in the base typeset. Mappings do not maintain any left-to-right position order; they support access to stored data by key, as well as type-specific method calls.
What is polymorphism and why should you care?
Polymorphism means that the meaning of an operation (like a+) depends on the objects being operated. This turns out to be a key idea behind good use of Python, not coercing code to specific types makes that code automatically applied to many types.
I hope you liked this article on Python interview questions on Data Types. Feel free to ask your valuable questions in the comments section below.
