Master Python Interviews with These 150 Essential Questions

Preparing for a Python-based role in data science, analytics, software development, or AI?
You need more than just coding skills — you need clarity on concepts, frameworks, and best practices.

This document contains 150 most commonly asked Python interview questions with clear, concise answers covering:
-Core Python – data types, control flow, OOP, memory management, iterators, decorators, and more
-Data Science Libraries – NumPy, Pandas, Matplotlib, Seaborn
-Frameworks – Flask, Django, Pyramid
-Data Handling – CSV reading, DataFrames, joins, merges, file handling
-Advanced Topics – GIL, multithreading, pickling, deep vs. shallow copy, generators
-Coding Challenges – from Fibonacci to palindrome checkers, sorting algorithms, and data structure problems

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Python Question;

Can you crack this in 10 seconds?🤫

What is the output of this code and why?

Python Question;

Can you figure this without running the code?😅

What is the output of this code and why?

Top 482 Flask Developer Interview Questions & Answers

Part 1: https://hackmd.io/@husseinsheikho/flask-int1

Part 2: https://hackmd.io/@husseinsheikho/flask-int2

Part 3: https://hackmd.io/@husseinsheikho/flask-int3

Part 4: https://hackmd.io/@husseinsheikho/flask-int4

Part 5: https://hackmd.io/@husseinsheikho/flask-int5

https://t.me/DataScience4

Top 50 LLM Interview Questions.pdf

https://t.me/DataScienceQ

Python interview codes with jupyter

https://t.me/DataScienceQ

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