How to code a one-line calculator in Python!

Source code in comments!

What is Python?
Python is a high-level, interpreted programming language designed with a strong emphasis on code readability and simplicity. Created by Guido van Rossum and released in 1991, Python was built to allow developers to express concepts in fewer lines of code than languages like C++ or Java. Its syntax closely mirrors the English language, making it exceptionally approachable for beginners while remaining powerful enough for enterprise-level software engineering.

As a general-purpose language, Python is not restricted to any single type of software development. It supports multiple programming paradigms, including object-oriented, procedural, and functional programming. Because it is an interpreted language, code is executed line-by-line, which simplifies the debugging process and accelerates the development lifecycle.

Key Features and Core Philosophies
The foundational philosophy of the language is famously outlined in "The Zen of Python," which emphasizes principles such as "Beautiful is better than ugly" and "Simple is better than complex." This philosophy translates into several distinct technical features:

Clean Syntax: Python eliminates the need for complex curly braces and semicolons, relying instead on clean, mandatory whitespace indentation to define code blocks.

Dynamic Typing: Developers do not need to explicitly declare variable types, which allows for faster prototyping and a more flexible coding experience.

Large Standard Library: Often described as having "batteries included," Python comes with a massive set of built-in modules to handle everything from file I/O to web processing right out of the box.

Cross-Platform Compatibility: Python code runs seamlessly across Windows, macOS, Linux, and Unix systems without requiring modification.

Real-World Applications and Ecosystem

Python’s versatility has made it a dominant force across the modern technology landscape. It is supported by a massive global community that continuously maintains hundreds of thousands of open-source packages via the Python Package Index (PyPI). Major industries rely heavily on Python for several critical fields:

Artificial Intelligence and Machine Learning: Python is the undisputed industry standard for AI, powering core frameworks like TensorFlow, PyTorch, and Scikit-Learn.

Data Science and Analytics: Data scientists use libraries like Pandas, NumPy, and Matplotlib to clean, manipulate, visualize, and analyze complex datasets.

Web Development: Robust back-end frameworks like Django and Flask allow developers to build scalable, secure web applications efficiently.

Automation and Scripting: Python excels at automating repetitive tasks, scraping data from websites using Beautiful Soup, and managing system administration.

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Credits to @TechWithNash for the original code!

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