Python Libraries and Frameworks

Below, are the explanation of Python libraries and frameworks.

Python Libraries

Libraries are collections of functions and modules that you can import into your Python code to perform specific tasks.
They offer ready-made solutions for common programming tasks, such as mathematical operations, working with data, or interacting with external services.
Examples of Python libraries include math for mathematical operations, requests for making HTTP requests, and random for generating random numbers.

Example:-

Suppose we want to import the random library and use it to generate a random number. The random library provides functions for generating random numbers and selecting random elements from sequences.

Python

import random

# Generate a random integer between 1 and 10
random_number = random.randint(1, 10)

# Print the random number
print("Random number:", random_number)

Output

('Random number:', 7)

Python Frameworks

Frameworks are pre-built structures that provide a foundation for developing applications.
They offer a set of tools, rules, and conventions to streamline the development process and ensure consistency across projects.
Frameworks often include features like routing, templating, and database integration, making it easier to build complex applications.
Examples of Python frameworks include Flask and Django for web development, TensorFlow and PyTorch for machine learning, and pandas for data analysis.

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Python Libraries and Frameworks