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PYTHON THEORY BASED INTERVIEW QUESTIONS

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                                                             PYTHON THEORY BASED INTERVIEW QUESTIONS: 1. WHAT IS PYTHON? 2. WHAT ARE THE KEY FEATURES OF PYTHON? 3. HOW IS PYTHON   4. WHAT IS PEP 8? 5. WHAT ARE PYTHON MODULES? 6. WHAT IS A PYTHON PACKAGE? 7. HOW DO YOU COMMENT IN PYTHON? 8. WHAT ARE PYTHON DATA TYPES? 9. WHAT IS TYPE CONVERSION IN PYTHON? 10. WHAT IS STRING INTERPOLATION IN PYTHON? 11. WHAT ARE PYTHON CONDITIONAL STATEMENTS? 12. WHAT ARE PYTHON LOOPS? 13. WHAT IS THE DIFFERENCE BETWEEN RANGE() AND XRANGE() IN PYTHON 2? 14. WHAT ARE PYTHON FUNCTIONS? 15. WHAT IS THE DIFFERENCE BETWEEN A FUNCTION AND A METHOD IN PYTHON? 16. HOW DO YOU DEFINE A FUNCTION IN PYTHON? 17. WHAT IS THE __INIT__ METHOD USED FOR? 18. WHAT IS OBJECT-ORIENTED PROGRAMMING (OOP)? 19. WHAT ARE PYTHON CLASSES AND OBJECTS? ...

File handling in Python

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                                                                      File handling in Python File handling in Python allows you to work with files on your computer's storage. You can open files, read data from them, write data to them, and close them when you're done.  This is useful for tasks like r eading text files, writing logs , or processing data stored in files. "r": Open for reading (default). Raises FileNotFoundError if the file doesn't exist. " w": Open for writing. Creates a new file if it doesn't exist, overwrites the existing content if it does. "a": Open for appending. Creates a new file if it doesn't exist. Writes to the end of the file if it does. "b": Binary mode. Appends "b" to other modes (e.g., "rb", "wb") to indicate binary mode. "+": Open for updat...

Mastering List Comprehensions

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                                                                Mastering List Comprehensions List comprehensions are a concise and powerful way to create lists in Python. They provide a compact syntax for generating lists based on existing iterables like lists, strings, or range objects List comprehensions syntax: expression is the expression to be evaluated for each item in the iterable. item is the variable representing each element in the iterable. iterable is the iterable object (list, string, range) used to generate the elements. Example: Consider the task of creating a list containing squares of numbers from 1 to 5 using a traditional loop and then with a list comprehension. In the list comprehension [i*i for i in range(1, 6)], we iterate over each ele...

Dive into Basic Interview Questions

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                                                       Dive into Basic Interview Questions Some basic and important Python interview questions along with their answers: 1. What is Python?      Python is a high-level, interpreted, programming language its  directly run from source code. 2. What are the key features of Python?      Python has several key features, including:Simple and easy-to-learn syntax Interpreted and dynamically-typed. High-level built-in data structures. Extensive standard library. Supports object-oriented, procedural, and functional programming paradigms. 3. Python supports various data types? Floating-point numbers (float) Complex numbers (complex) Strings (str) Lists (list) Tuples (tuple) Dictionaries (dict) Sets (set) 4. What is the diff...

Python OOPS Fundamentals Explained

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                                                 Python OOPS Fundamentals Explained 1. Class and Object: Explanation: Class: Blueprint for creating objects, encapsulating data and methods. Object: Instance of a class, representing a specific entity in the program. Syntax Example: 2.Inheritance: Explanation: Inheritance allows us to define a class that inherits all the methods and properties from another class. Parent class is the class being inherited from, also called base class. Syntax Example: 3. Encapsulation: Explanation: Ability of different objects to respond to the same message or method call in different ways. Syntax Example: 4. Polymorphism: Explanation: Ability of different objects to respond to the same message or method call in different ways. Syntax Example:   Learn more about the Python OOPS  Fundamentals  by visiting the URL below....

Python's Add and Pop Methods in Lists, Dictionaries, and Sets

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                                                                                      Python's Add and Pop Methods in Lists, Dictionaries, and Sets In Python, lists, dictionaries, and sets are versatile data structures that offer different methods for manipulation. Among these methods, add and pop stand out as fundamental operations for adding elements to and removing elements from these data structures. 1. Lists: lists are "mutable" - they can be changed. Using the standard indexing scheme.          Add Method ( append ): The append() method adds an element to the end of the list.                   Pop Method ( pop ): The pop() me...

Mastering Loops and statements in Python: A Beginner's Guide

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                                                                                Mastering Loops and statements in Python: A Beginner's Guide Loops are an essential part of programming, allowing you to execute a block of code repeatedly. Python, there are mainly two types of loops: for and while loops . Let's explore them in detail with simple examples. In Python, you can iterate over various types of sequences besides lists, such as tuples, strings, dictionaries (iterating over keys, values, or items), and even range objects. 1. For Loops: For loops iterate over a sequence (such as lists, tuples, or strings) and execute a block of code for each item in the sequence. Example: Output: 2. While Loops: While loops execute a...