Learn the most IMP Python Interview Questions and Answers and clear your basic to advanced Python concepts with Python coding examples. We are separating these Python questions into three levels such as beginner, intermediate, and advanced.
Python Interview Questions For Beginner
1) Why is Python are interpreted language?
Ans: Python code is not directly converted into machine code. The Python interpreter reads the code line by line and then instantly runs that code.
A computer uses a compiler tool for C, C++, and Java to run the program. since the computer cannot directly understand high-level languages like C or Java.
But The interpreter convert source code into bytecode and then runs the code, because the computer can directly understand Python code without compiling.
Example:
print("Start")
x = 5 / 0 # this is create error
print("End")
Output of this code is only:
Start
Because Python runs line by line, when they gets an error, it stops immediately.
Tagline: Interpreter is a software that reads and runs the programming code line by line.
Conclusion: Python is great for quick testing and development, but if there is any mistake so it can stop suddenly because it has not been compiled.
2) What is Indentation in Python any why it is important?
Ans: You can see the beginning space in the Python code lines; this is called Indentation.
Python uses indentation to understand your code structure. Unlike C and Java use the curly braces {}.
Python stops running the program and gives an error if we don’t use the correct indentation.
Python Code Example with Indentation:
def greet(name):
print("Hello,", name) # Properly indented line
print("Welcome to Python!") # Properly indented line
Wrong Code (No indentation):
def greet(name):
print("Hello,", name) #IndentationError
print("Welcome to Python!")
3) Difference between List and Tuple in Python?
Ans: lists and tuples are Important methods in Python. It used to store multiple values in a single variable.
Lists are changeable in Python – We can change List values after it is created. A list allows us to add, remove, or update a value.
On the other hand, Tuples are fixed. You can’t modify tuple data after it is created. it is useful for storing constant data.
Code Example:
# List Example
List = [100, 200, 300]
List.append(400)
print(List)
# Output: [100, 200, 300, 400]
----------------------------------
# Tuple Example
Tuple = (100, 200, 300)
Tuple.append(400) #Error, can not add the value
print(Tuple)
# Output: (100, 200, 300)
4) What is the use of None in Python?
Ans: None is a special value in Python. We use None when we want to use a variable without any values. It is useful for default values, function returns, or condition checks.
None means not a 0, empty string “”, and False – None has its separate value, which means “Variables are empty.”
Code example of None:
user_name = None
# Later, we can assign a real value:
user_name = "Harry"
In this example the greet() function only prints “Hello”, but it does not return any value.
def greet():
print("Hello")
result = greet()
print(result) #Output: None (because greet() function doesn’t return anything)
Using this code, you can check variable is empty or not:
if user_name is None:
print("No name given yet.")
5) What are the Python variables, and how it is created?
Ans: In Python, a variable is like a container that holds different types of data in memory, such as numbers, text, lists, or even functions. We use the = (equal) sign to create a variable and assign a value.
- A variable name starts with a letter, not a number.
- Python is case-sensitive, so data and Data are different variables.
- Variable does not support reserved words like class, for, if, etc.
Syntax of variable:
variable_name = value
Below are the different types of variables:
name = "Harry" # String variable
age = 27 # Integer variable
pi = 6.14159 # Float variable
Active = True # Boolean variable
Subject = ["Python", "React", "IoT"] # List
6) What are Python data types?
Ans: Variables can store different types of data, such as numbers, text, lists, or true/false. it is called Data Types.
- int (integer)
- float (decimal numbers)
- complex (complex numbers like 2 + 3j)
- str (string/text)
- list (ordered, mutable collection)
- tuple (ordered, immutable collection)
Why are Data Types Important?
- Data types help the program understand how to store and work with the data.
- They define what operations are allowed, for example: adding numbers vs. combining strings.
x = 10 # int
y = "Hello" # string
z = [1, 2, 3] # list collect the value
7) What are the Python functions? How do you define and call them?
Ans: A function is a block of code that performs a specific task.
A function is reusable code. Once we write a function, we can call it multiple times in our code, with different values.
Example of function:
def greet(name):
print("Hello,", name)
# Reusing the same function multiple times:
greet("Harry")
greet("John")
greet("Zaha")
Output:
Hello, Harry
Hello, John
Hello, Zaha
8) What is the difference between a for loop and while loop in Python?
Ans: For and while loops are used to repeat a block of code multiple times, but both work differently.
| For Loop | While Loop |
| A for loop has a fixed repetition. | While loops are condition-based repetition. |
| You know how many times a loop repeats. | You don’t know until something happens. |
| Real life example : Counting 10 pens one by one. | Filling a bottle until it is full |
Example of for loop (Fixed Repetition):
# Print numbers from 1 to 5
for i in range(1, 6):
print(i)
Output:
1
2
3
4
5
Example of while loop (Condition-Based Repetition):
# Print 1 to 5 numbers using a while loop
i = 1
while i <= 5:
print(i)
i += 1
Output:
1
2
3
4
5
9) What are Python dictionaries? How are they used?
Ans: A Python dictionary is a container that stores an unordered collection of data in key-value format. and each value can be accessed using unique key.
For example, it’s like a real dictionary where you see a word (key) to get its meaning (value).
Example:
student = {
"name": "Harry",
"age": 21,
"marks": 88
}
Output:
print(student["name"]) # Output: harry
print(student["marks"]) # Output: 88
Updating a Value:
student["marks"] = 90
print(student["marks"]) # Output: 90
10) What is the difference between is and == in Python?
Ans: A is and == are used for comparison. But both are used for different purposes.
Equality Operator ( == ) checks whether two variables’ values are the same or not.
Identity Operator ( is ) checks whether two variables refer to the same object or not.
// Equality Operator ( == )
a = [1, 2, 3]
b = [1, 2, 3]
print(a == b) # True, because the values are equal
// Identity Operator ( is )
a = [1, 2, 3]
b = [1, 2, 3]
print(a is b) # False, because both are different objects
11) What is type casting in Python?
Ans: Type casting is the process of converting a data type value from one data type to another. For example, convert a String into an Integer.
Sometimes, Python can’t do operations between two different data types; in this case, we use type casting.
There are two types of Type Casting
- Implicit Type Casting
- Explicit Type Casting
Implicit Type Casting
Python automatically converts the data type.
a = 5 # int
b = 2.5 # float
result = a + b # Python converted into float
print(result) # Output: 7.5
Explicit Type Casting
We manually convert data types using built-in functions: int(), float(), str(), etc.
num = "100" # string
converted = int(num) # convert to integer
print(converted + 50) # Output: 150
12) What is the use of break and continue in Python loops?
Ans: break and continue are loop control statements in Python. We can stop the loop using the break statement, and skip some value using the continue statement.
break Statement Example
for i in range(1, 10):
if i == 5: //// break the loop
break
print(i)
Output:
1
2
3
4 //// break the loop
continue Statement Example
for i in range(1, 6):
if i == 3: // skip 3 and continue till 5
continue
print(i)
Output:
1
2
4 // skip 3
5
13) What is the difference between input() and print() in Python?
Ans: Both Input() and Print() are pre-built functions of Python. Input() function takes the data from the user and gives it to the program. Then the print () function shows that data to the user.
name = input("Enter your name: ")
print("Your name is", name)
If the user types Harry, then the name will be stored as a string. and then print that name, such as: “Your name is Harry”.
14) What is the pass statement in Python?
Ans: The pass statement is used to skip execution of a code block without giving an error.
A pass statement is a blank page of a book with “Coming Soon…” words. means it is just holding a space without content.
Example 1:
def feature_coming_soon():
pass
Without pass, Python will throw an IndentationError.
Example 2:
x = 10
if x > 5:
pass # logic not written yet
else:
print("x is 5 or less")
15) What is the difference between id() and type() in Python?
Ans: The type () function is used to identify which type of data types used for this variable.
For example:
x = 5
print(type(x))
# Output: <class 'int'> // It means variable type is Integer
The id() function is used for finding the address of the memory location where Python store the variables.
For example:
x = 5
print(id(x)) # Output: 140712927648560 // memory address unique integer
16) What is slicing in Python? Give an example.
Ans: The Slicing method is used to pick specific parts from a string, list, or tuple.
Suppose you want to select a few pages from a book. so you don’t need to cut the book, you can read those parts and cut them.
Example with String:
text = "Python"
slice = text[1:4]
print(slice)
Output:
yth
Explanation:
- text[1:4] means – start from index 1 and go forward, but not including index 4.
- text[1] = ‘y’, text[2] = ‘t’, text[3] = ‘h’
17) What is the difference between append(), insert(), and extend() in Python lists?
Ans: All three elements, append(), insert(), and extend(), are used to add values to the list, but they work differently.
1. append()
Append adds a single element at the end of the list.
Example:
fruits = ["apple", "banana"]
fruits.append("mango")
print(fruits)
Output:
['apple', 'banana', 'mango']
Note: Even if you add a list inside the append(), it adds all the values in a sublist.
fruits.append(["orange", "grape"])
# Output: ['apple', 'banana', 'mango', ['orange', 'grape']]
2. insert()
We can add any elements at a specific position in the list.
Example:
fruits = ["apple", "banana"]
fruits.insert(1, "mango") # insert at index 1
print(fruits)
Output:
['apple', 'mango', 'banana']
3. extend()
One by one, add multiple elements at the end of the list.
Example:
fruits = ["apple", "banana"]
fruits.extend(["mango", "orange"])
print(fruits)
Output:
['apple', 'banana', 'mango', 'orange']
Note: It adds each item individually, not as a sublist.
18) What is the difference between del, remove(), and pop() in Python?
Ans: All three methods are used to delete elements from a list, but all are used for different purposes.
1. del Statement
We can delete a specific item or the entire list using the del statement.
Example:
fruits = ["apple", "banana", "mango"]
del fruits[1] # Delete only one value
print(fruits)
Output:
['apple', 'mango']
For delete the whole list:
del fruits
2. remove() Method
With the remove() method, we can delete a particular item using its name.
Example:
fruits = ["apple", "banana", "mango"]
fruits.remove("banana")
print(fruits)
Output:
['apple', 'mango']
Note: If the value is not found, it gives an error.
3. pop() Method
The pop() method can remove and return an element by its index. It can remove the last element by default without an index.
Example:
fruits = ["apple", "banana", "mango"]
fruit = fruits.pop(1)
print(fruit) # Output: banana
print(fruits) # Output: ['apple', 'mango']
Or use like:
fruits.pop() # Removes last element
19) What is a tuple in Python? How is it different from a list?
Ans: A Tuple is used to store multiple values in a single variable. A tuple can not change its values after created.
Tuples store values like a list. But it uses a round ( ) bracket.
Example:
my_tuple = ("apple", "banana", "cherry")
print(my_tuple[0]) # Output: apple
We can not add or append any values to this list.