numeric data types in python

Python supports various numeric data types to represent different kinds of numerical values. Understanding these data types is crucial for performing arithmetic operations and manipulating numerical data in your Python programs. In this tutorial, we will explore the main numeric data types in Python, including integers, floats, and complex numbers, and provide code examples to illustrate their usage.
Integers are whole numbers without any decimal points. They can be positive or negative. In Python, the int data type is used to represent integers.
Floating-point numbers, or floats, are numbers with decimal points or in exponential form. The float data type is used to represent these numbers in Python.
Complex numbers have both a real part and an imaginary part. They are represented using the complex data type in Python.
Python supports standard arithmetic operations for numeric data types.
You can convert numeric data types from one type to another using type casting.
Understanding and working with numeric data types is fundamental for any Python programmer. In this tutorial, we explored integers, floating-point numbers, and complex numbers, along with basic operations and type conversion. Use this knowledge to perform numerical computations and handle different types of numeric data in your Python projects.
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