Python Program to Add two Numbers dynamically

Add two Numbers based on User Input in PYTHON - Google Colaboratory
# Get user input for the first number
num1 = float(input("Enter the first number: "))

# Get user input for the second number
num2 = float(input("Enter the second number: "))

# Add the two numbers
sum_result = num1 + num2

# Display the result
print(f"The sum of {num1} and {num2} is: {sum_result}")

Interpreted Language:

Python is an interpreted language, which means that code can be executed line by line.
High-Level Language:

Python is a high-level programming language, abstracting many low-level details and providing a simple syntax.
General-Purpose Language:

Python is a general-purpose language and can be used for a wide range of applications, including web development, data science, artificial intelligence, automation, and more.
Indentation Matters:

Python uses indentation to indicate blocks of code. Proper indentation is crucial for code readability and is enforced by the interpreter.
Dynamic Typing:

Python is dynamically typed, meaning that the type of a variable is determined at runtime. You don't need to explicitly declare variable types.
Object-Oriented Programming (OOP):

Python supports object-oriented programming principles, including classes, inheritance, and polymorphism.
Extensive Standard Library:

Python comes with a rich standard library that provides modules and packages for various tasks, reducing the need for external libraries.
Cross-Platform Compatibility:

Python is designed to be cross-platform, meaning that Python code can run on different operating systems without modification.
Community and Ecosystem:

Python has a large and active community. The Python Package Index (PyPI) hosts a vast ecosystem of third-party libraries and frameworks.
Readability (PEP 8):

Python emphasizes code readability. The PEP 8 style guide provides conventions for writing clean and readable code.
Exception Handling:

Python supports robust error handling through try, except, and finally blocks.
List Comprehensions:

Python provides concise syntax for creating lists, known as list comprehensions, which can be a powerful tool for data manipulation.
Dictionaries and Sets:

Python includes built-in data structures like dictionaries (key-value pairs) and sets, which are useful for various applications.
Lambda Functions:

Lambda functions allow the creation of small, anonymous functions.
Generators:

Python supports the creation of generators, which are iterators that can be used to efficiently iterate over large datasets.
Slicing and Indexing:

Python supports powerful slicing and indexing of lists, tuples, and strings.
Decorators:

Decorators provide a way to modify or extend the behavior of functions or methods.
Virtual Environments:

Virtual environments allow developers to create isolated Python environments for project dependencies.
Concurrency and Asynchronous Programming:

Python supports both threading and asynchronous programming, enabling developers to handle concurrent tasks efficiently.
Web Frameworks:

Python has popular web frameworks such as Django and Flask for building web applications.
These key points highlight some of the fundamental aspects and features of the Python programming language. Understanding these concepts is essential for effective Python development.
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