Python Interview Questions & Answers | Python Interview Preparation | Python Training
Table of Contents
Introduction
This tutorial aims to prepare you for Python interviews by addressing some of the most frequently asked questions. Understanding these concepts will not only help you during interviews but also strengthen your overall Python knowledge.
Step 1: Understand the Differences Between List and Tuple
-
List:
- Mutable: You can modify it (add, remove, change elements).
- Syntax: Defined by square brackets, e.g.,
my_list = [1, 2, 3]
.
-
Tuple:
- Immutable: Once defined, you cannot change it.
- Syntax: Defined by parentheses, e.g.,
my_tuple = (1, 2, 3)
.
Practical Tip
Use lists when you need a collection of items that will change, and tuples when you want a fixed collection.
Step 2: Write a Generator Function for Fibonacci Series
A generator function allows you to iterate through a sequence without storing the entire sequence in memory.
Code Example
def fibonacci(n):
a, b = 0, 1
for _ in range(n):
yield a
a, b = b, a + b
# Usage
for num in fibonacci(10):
print(num)
Step 3: Reverse a List in Python
You can reverse a list using various methods:
- Using the
reverse()
method:
my_list = [1, 2, 3]
my_list.reverse()
print(my_list) # Output: [3, 2, 1]
- Using slicing:
my_list = [1, 2, 3]
reversed_list = my_list[::-1]
print(reversed_list) # Output: [3, 2, 1]
Step 4: Get Current System Date and Time
You can use the datetime
module for this:
Code Example
from datetime import datetime
current_time = datetime.now()
print(current_time)
Step 5: Validate an Email ID
You can use regular expressions to validate an email address.
Code Example
import re
def is_valid_email(email):
pattern = r'^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$'
return re.match(pattern, email) is not None
# Usage
print(is_valid_email("test@example.com")) # Output: True
Step 6: Understand Anonymous Functions or Lambda Functions
- Lambda Functions: Small anonymous functions defined with the
lambda
keyword. - Usage: Commonly used for short, throwaway functions.
Code Example
add = lambda x, y: x + y
print(add(5, 3)) # Output: 8
Step 7: Learn About the OS Module
The os
module provides a way to use operating system-dependent functionality like reading or writing to the file system.
Practical Applications
- Navigating directories
- Working with environment variables
- Executing system commands
Step 8: Read a File with Multiple Lines
You can read a file and split its contents into lines and words.
Code Example
with open('file.txt', 'r') as file:
lines = file.readlines()
# Split into words
for line in lines:
words = line.split()
print(words)
Step 9: Merge One Dictionary with Another
You can combine dictionaries using the update()
method or the **
unpacking technique.
Code Example
dict1 = {'a': 1, 'b': 2}
dict2 = {'b': 3, 'c': 4}
# Using update
dict1.update(dict2)
print(dict1) # Output: {'a': 1, 'b': 3, 'c': 4}
# Using unpacking
merged_dict = {**dict1, **dict2}
print(merged_dict) # Output: {'a': 1, 'b': 3, 'c': 4}
Step 10: Remove Duplicates from a List
You can remove duplicates by converting the list to a set.
Code Example
my_list = [1, 2, 2, 3, 4, 4]
unique_list = list(set(my_list))
print(unique_list) # Output: [1, 2, 3, 4]
Conclusion
This tutorial covered essential Python interview questions and their solutions, including the differences between lists and tuples, creating a Fibonacci generator, validating email addresses, and more. Review these concepts regularly to improve your Python skills and boost your confidence for upcoming interviews. Consider practicing these examples in your local environment to solidify your understanding.