Python Interview Questions – Part 1

1. What is Python?
Python is a high-level, interpreted programming language known for its readability and wide range of libraries.

2. Is Python statically typed or dynamically typed?
Dynamically typed. You don't need to declare data types explicitly.

3. What is the difference between a list and a tuple?

List is mutable, can be modified.

Tuple is immutable, cannot be changed after creation.


4. What is indentation in Python?
Indentation is used to define blocks of code. Python strictly relies on indentation instead of brackets {}.

5. What is the output of this code?

x = [1, 2, 3]
print(x * 2)

Answer: [1, 2, 3, 1, 2, 3]

6. Write a Python program to check if a number is even or odd.

num = int(input("Enter number: "))
if num % 2 == 0:
print("Even")
else:
print("Odd")

7. What is a Python dictionary?
A collection of key-value pairs. Example:

person = {"name": "Alice", "age": 25}

8. Write a function to return the square of a number.

def square(n):
return n * n


Coding Interviews: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X

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✍️ Blogging System — post creation, comments, likes, and user roles

💼 Job Board — post and search jobs, apply with resumes

🏠 Real Estate Listings — search, filter, and view property details

💬 Chat App — real-time messaging with sockets or Firebase

📊 Admin Dashboard — charts, user data, and analytics in one place

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🔹 𝗦𝘁𝗲𝗽 𝟭: Learn the Basics (Don’t Skip This!)
✅ Variables, data types (int, float, string, bool)
✅ Loops (for, while), conditionals (if/else)
✅ Functions and user input
Start with:
Python.org Docs
YouTube: Programming with Mosh / CodeWithHarry
Platforms: W3Schools / SoloLearn / FreeCodeCamp
Spend a week here.

Practice > Theory.

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✅ Rename files in bulk
✅ Auto-fill forms
✅ Web scraping with BeautifulSoup or Selenium
Read: “Automate the Boring Stuff with Python”
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🔹 𝗦𝘁𝗲𝗽 𝟯: Build Mini Projects (Your Confidence Booster)
✅ Calculator app
✅ Dice roll simulator
✅ Password generator
✅ Number guessing game

These small projects teach logic, problem-solving, and syntax in action.

🔹 𝗦𝘁𝗲𝗽 𝟰: Dive Into Libraries (Python’s Superpower)
✅ Pandas and NumPy – for data
✅ Matplotlib – for visualizations
✅ Requests – for APIs
✅ Tkinter – for GUI apps
✅ Flask – for web apps

Libraries are what make Python powerful. Learn one at a time with a mini project.

🔹 𝗦𝘁𝗲𝗽 𝟱: Use Git + GitHub (Be a Real Dev)
✅ Track your code with Git
✅ Upload projects to GitHub
✅ Write clear README files
✅ Contribute to open source repos

Your GitHub profile = Your online CV. Keep it active!

🔹 𝗦𝘁𝗲𝗽 𝟲: Build a Capstone Project (Level-Up!)
✅ A weather dashboard (API + Flask)
✅ A personal expense tracker
✅ A web scraper that sends email alerts
✅ A basic portfolio website in Python + Flask

Pick something that solves a real problem—bonus if it helps you in daily life!

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You don’t need to memorize code. Understand the logic.
Google is your best friend. Practice is your real teacher.

Python Resources: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a

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Python for Everything:

Python + Django = Web Development

Python + Matplotlib = Data Visualization

Python + Flask = Web Applications

Python + Pygame = Game Development

Python + PyQt = Desktop Applications

Python + TensorFlow = Machine Learning

Python + FastAPI = API Development

Python + Kivy = Mobile App Development

Python + Pandas = Data Analysis

Python + NumPy = Scientific Computing

FREE RESOURCES TO LEARN MACHINE LEARNING
👇👇

Intro to ML by MIT Free Course

https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about

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ML Crash Course by Google

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