Overview

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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