Python Interview Questions

What is the difference between a list and a tuple in Python?

Key features of Python include simplicity, readability, versatility, extensive libraries, dynamic typing, automatic memory management, and support for multiple programming paradigms (procedural, object-oriented, and functional)

What are the key features of Python?

Key features of Python include simplicity, readability, versatility, extensive libraries, dynamic typing, automatic memory management, and support for multiple programming paradigms (procedural, object-oriented, and functional)

What type of language is Python? Programming or scripting?

Python is a high-level programming language that supports both programming and scripting. It is often referred to as a “general-purpose language” due to its versatility and ability to be used for various applications, including web development, data science, artificial intelligence, automation, and more.

Python is an interpreted language. Explain?

Python is interpreted, meaning its code is executed line by line by an interpreter at runtime. It doesn’t require compilation into machine code, allowing for dynamic typing and platform independence.

What is pep 8?

PEP 8 (Python Enhancement Proposal 8) is a style guide for writing Python code. It provides conventions for formatting, naming, and organizing code to enhance readability and maintainability

What are the benefits of using Python?

Benefits of using Python include simplicity, readability, versatility, extensive libraries, dynamic typing, automatic memory management, cross-platform compatibility, community support, and adoption in diverse fields like web development, data science, Al, and automation.

What are Python namespaces?

Python namespaces are mappings from names to objects, organizing variables, functions, etc. Local, enclosing, global, and built-in namespaces help manage names and avoid conflicts in a program.

What are decorators in Python?

In Python, decorators are a powerful and flexible way to modify or extend the behavior of functions or methods without changing their code. They use the @decorator syntax and are applied above the function definition. Decorators are often used for tasks like logging, timing, authentication, or modifying the return value of a function.

What are Dict and List comprehensions?

List comprehensions create lists by applying expressions to iterable items. Dict comprehensions do the same for dictionaries. Both offer concise syntax for generating data structures in Python.

What are the common built-in data types in Python?

The common built-in data types in Python include integers (int), floating-point numbers (float), strings (str), booleans (bool), lists (list), tuples (tuple), dictionaries (dict), sets (set), and the special type NoneType.

What is the difference between.py and.pyc files?

py files: These are Python source code files. They contain human-readable code that you write and can be directly executed by the Python interpreter. pyc files: These are compiled Python files. When a.py file is imported, Python compiles it into bytecode (a lower-level representation) and saves it as a.pyc file. This bytecode can be executed faster than the original source code and is platform-independent. The.pyc files are created to improve the startup time of Python programs.

What is slicing in Python?

Slicing in Python extracts portions of a sequence using start:stop:step notation. It allows selecting elements by index, defining intervals, and reversing sequences efficiently.

What are Keywords in Python?

Keywords in Python are reserved words that have specific meanings and cannot be used as identifiers (variable names, function names, etc.). Examples include if, else, for, while, def, class, True, False, and None.

What are Literals in Python and explain about different Literals?

Literals are direct representations of data values in Python code. Numeric literals include integers, floats, and complexes. String literals use quotes. Booleans are True or False.

How to combine dataframes in pandas?

In pandas, you can combine DataFrames using functions like concat(), merge(), and join(). concat() is used for simple concatenation, while merge() and join() are for merging based on key columns.

What are the new features added in Python 3.9.0.0 version?

As of my last knowledge update in January 2022, I don’t have specific details about Python 3.9.0.0 features. However, Python releases usually introduce improvements in performance, new syntax features, and library enhancements. For the latest features, check the official Python release notes on the Python website or documentation.

How is memory managed in Python?

Python uses automatic memory management with a private heap. It employs reference counting and a cyclic garbage collector to reclaim unused memory. Memory pools and allocation strategies optimize performance.

What is namespace in Python?

A namespace in Python is a mapping from names to objects, providing a way to organize and manage identifiers (variables, functions, classes). It helps avoid naming conflicts and supports modular programming.