1. What is Python?
1. Python is a high-level, interpreted programming language known for its simplicity and readability. It emphasizes code readability and simplicity, making it a popular choice for beginners and experienced programmers alike. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. It has a large standard library and a vibrant community, contributing to its versatility and widespread use in various domains such as web development, data science, machine learning, artificial intelligence, automation, and more.
2. What are the key features of Python?
2. Python is a high-level, interpreted programming language renowned for its simplicity, readability, and versatility. Its key features include readability, which emphasizes clean and concise code, making it easier to understand and maintain. Python's interpreter-based nature enables rapid development and straightforward debugging, promoting productivity. The language's dynamic typing eliminates the need for explicit type declarations, enhancing flexibility and reducing development time. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, catering to diverse coding styles. Its extensive standard library provides a rich set of modules and functions for various tasks, enhancing development efficiency. Python's portability allows code to run seamlessly across different platforms, ensuring compatibility and scalability. Moreover, its extensibility enables integration with other languages like C and C++, expanding its capabilities. Backed by a vibrant community, Python offers robust community support, fostering collaboration, innovation, and continuous improvement. Overall, Python's ease of learning, powerful features, and broad applicability make it a popular choice for a wide range of development tasks.
3. Differentiate between Python 2 and Python 3.
3. Python 2 is an older version of the language that is no longer maintained as of January 1, 2020, whereas Python 3 is the current and actively developed version with improvements such as better Unicode support, syntax enhancements, and a clear separation between text and binary data.
4. Explain how memory management works in Python.
4. Memory management in Python is handled automatically by a mechanism called garbage collection, where objects that are no longer referenced are automatically deallocated, freeing up memory for reuse
5. What is PEP 8? Why is it important?
5. PEP 8 is a style guide for Python code, outlining conventions for formatting code, such as indentation, spacing, and naming conventions. It's important because adhering to PEP 8 ensures consistency and readability across Python projects, facilitating collaboration and maintenance
6. What are Python decorators?
6. Python decorators are functions that modify the behavior of other functions or methods at compile time by wrapping them inside another function. They allow for adding functionality to existing code without modifying its structure.
7. Explain the concept of Python generators and provide an example
7. Python generators are functions that enable the creation of iterators. They yield values one at a time rather than returning a single result, making them memory-efficient for generating large sequences of data. Example: pythonCopy code def square_numbers(n): for i in range(n): yield i ** 2 # Using the generator gen = square_numbers(5) for num in gen: print(num) This example defines a generator function square_numbers() that yields the square of numbers from 0 to n-1. When iterated over, it produces each square value one at a time
8. What is the difference between list and tuple in Python?
8. In Python, the main difference between lists and tuples lies in their mutability. Lists are mutable, meaning their elements can be modified after creation, whereas tuples are immutable, meaning their elements cannot be changed after creation. Additionally, lists are defined using square brackets [ ], while tuples are defined using parentheses ( ).
9. How does exception handling work in Python?
9. In Python, exception handling allows for graceful handling of errors that may occur during program execution. It involves the use of try-except blocks, where code that may raise an exception is placed inside the try block, and the handling code is placed inside the except block. If an exception occurs within the try block, the corresponding except block is executed, allowing for error recovery or appropriate action to be taken.
10. Explain the concept of duck typing.
10. Duck typing is a programming concept in Python where the type or class of an object is determined by its behavior rather than its explicit type. It means that an object's suitability for a particular operation is determined by whether it supports that operation, rather than its inheritance hierarchy or type. This approach focuses on what an object can do (its methods and attributes) rather than what it is. The name "duck typing" comes from the phrase "If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is a duck," meaning that if an object behaves like a certain type, it can be treated as that type.
