Basic interview questions on Python 2024
Top Python Interview Questions for 2024
Basic interview questions on Python 2024
In a basic Python interview, candidates may be asked about their understanding of fundamental concepts such as data types, loops, conditional statements, functions, and object-oriented principles. They might have to explain how to work with strings, lists, dictionaries, and tuples, and demonstrate knowledge of common Python libraries like NumPy and pandas. Interview questions could also focus on error handling, file handling, and basic algorithmic problem-solving. Additionally, candidates may be expected to discuss their experience with Python frameworks like Django or Flask, and their familiarity with version control systems like Git.
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1 - What is Python?
Python is a high level, interpreted programming language known for its simplicity and readability. It is widely used in various applications, including web development, data analysis, artificial intelligence, and scientific computing.
2) What are the key features of Python?
Python's key features include a simple and easy to read syntax, dynamic typing, extensibility, portability, and a vast standard library. It also supports object oriented, imperative, and functional programming paradigms.
3) How do you define variables in Python?
In Python, variables are created by assigning a value to a name. Unlike some other programming languages, Python is dynamically typed, meaning that variables do not need explicit declarations.
4) What is the difference between Python 2 and Python 3?
Python 2 and Python 3 are both widely used versions of the language. Python 3 is the newer version and has some syntactic differences from Python 2, such as the print statement being replaced by the print() function. Python 2 is no longer officially supported since January 1, 2020.
5) How do you comment in Python?
In Python, you can add comments to your code using the ‘#’ symbol. Comments are ignored by the interpreter and are useful for making notes, explanations, or clarifications within the code.
6) What are Python libraries and packages?
Python libraries are pre written code modules that provide a set of functions and methods for performing specific tasks. Packages are collections of related modules, offering extended functionality to Python applications.
7) How can you handle exceptions in Python?
Exception handling in Python involves using try, except, and finally blocks. Try block contains the code that might raise an exception, except block catches and handles the exception, and the finally block executes cleanup code, regardless of whether an exception was raised.
8) What is a list comprehension in Python?
List comprehension is a concise way to create lists in Python. It provides a more compact syntax for iterating over sequences and applying conditions while creating lists.
9) How do you open and read a file in Python?
To open and read a file in Python, you can use the open() function with the ‘r’ mode to read the file and then use methods like read(), readline(), or readlines() to access the content.
10) What is the difference between ‘==’ and ‘is’ in Python?
The ‘==’ operator checks for equality of values, while the ‘is’ operator checks for identity, i.e., whether two variables refer to the same object in memory.
11) Describe lambda functions in Python.
Lambda functions, also known as anonymous functions, are small, single expression functions that are defined without a name. They are typically used for short, simple operations where defining a full function is unnecessary.
12) How do you handle scope in Python?
Python uses the LEGB rule (Local, Enclosing, Global, Built in) for resolving names in namespaces and determining variable scope. Understanding this rule is crucial for avoiding scope related issues in Python programs.
13) What is a decorator in Python?
Decorators are a powerful feature in Python that allows you to modify or extend the behavior of functions or methods without changing their code. They provide a clean and flexible way to add functionality to existing functions.
14) What is the difference between deep copy and shallow copy in Python?
Deep copy makes a new copy of the object and recursively copies all the objects within it, while shallow copy creates a new object and inserts references to the original object's elements. Understanding the distinction is essential when working with complex data structures.
15) How can you work with modules and packages in Python?
Modules are files containing Python code that can be imported and used in other Python programs. Packages are folders containing multiple modules and an init.py file. Properly organizing modules and packages is crucial for maintaining a well structured Python application.
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