1500+ Python Interview Questions Practice Test: Mega Bonanza

6 Practice Tests with 1500 Questions and Detailed Explanations for Mastering Python

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1500+ Python Interview Questions Practice Test: Mega Bonanza

1500+ Python Interview Questions Practice Test: Mega Bonanza udemy course free download

6 Practice Tests with 1500 Questions and Detailed Explanations for Mastering Python

This Python practice course is designed to help freshers, beginners, and those preparing for interviews or technical assessments. It includes a total of 1500 questions, distributed between conceptual understanding (55%) and coding-based practice (45%). Here’s how the questions are spread across the topics:

  • Python Basics (Syntax, Variables, Data Types) – Conceptual: 80%, Coding: 20%

  • Operators (Arithmetic, Comparison, Logical, Bitwise) – Conceptual: 70%, Coding: 30%

  • Control Flow (if, else, for, while, break, continue) – Conceptual: 60%, Coding: 40%

  • Functions (def, return, arguments, lambda) – Conceptual: 60%, Coding: 40%

  • Data Structures (Lists, Tuples, Sets, Dictionaries) – Conceptual: 50%, Coding: 50%

  • Strings and String Manipulations – Conceptual: 50%, Coding: 50%

  • File Handling – Conceptual: 60%, Coding: 40%

  • Modules and Packages (import, sys, os, etc.) – Conceptual: 70%, Coding: 30%

  • Error & Exception Handling – Conceptual: 50%, Coding: 50%

  • Object-Oriented Programming (Classes, Objects, Inheritance, etc.) – Conceptual: 50%, Coding: 50%

  • List Comprehensions & Generator Expressions – Conceptual: 30%, Coding: 70%

  • Decorators & Closures – Conceptual: 30%, Coding: 70%

  • Iterators & Generators – Conceptual: 30%, Coding: 70%

  • Regular Expressions (re module) – Conceptual: 40%, Coding: 60%

  • Date & Time (datetime, time modules) – Conceptual: 60%, Coding: 40%

  • JSON Handling – Conceptual: 60%, Coding: 40%

  • Virtual Environments & pip – Conceptual: 70%, Coding: 30%

  • Pythonic Programming (PEP8, Idioms) – Conceptual: 80%, Coding: 20%

  • Multi-threading & Multi-processing – Conceptual: 40%, Coding: 60%

  • Advanced Data Handling (NumPy, Pandas basics) – Conceptual: 50%, Coding: 50%

  • Networking (socket module) – Conceptual: 50%, Coding: 50%

  • Unit Testing & Debugging (unittest, pdb) – Conceptual: 50%, Coding: 50%

  • Functional Programming (map, filter, reduce) – Conceptual: 50%, Coding: 50%

  • Memory Management & Performance Optimization – Conceptual: 60%, Coding: 40%

  • Design Patterns in Python – Conceptual: 70%, Coding: 30%

  • Metaprogramming (metaclasses, type) – Conceptual: 40%, Coding: 60%

  • AsyncIO & Asynchronous Programming – Conceptual: 30%, Coding: 70%

  • Data Serialization (Pickle, CSV) – Conceptual: 60%, Coding: 40%

  • GUI Programming (Tkinter basics) – Conceptual: 50%, Coding: 50%

  • Web Scraping (requests, BeautifulSoup basics) – Conceptual: 50%, Coding: 50%

With this balanced approach, you'll strengthen both your theoretical knowledge and practical coding skills, preparing you for real-world Python development challenges and technical interviews.

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