Numbers
Understand Python’s capabilities for numerical data, including integers, floats, and complex numbers.
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Numerical data manipulation
Python is among the most powerful languages for manipulating numerical data. It is equipped with support for several types of numbers, along with utilities for performing computations on them. It has a rich ecosystem that consists of an active developer community and a vast collection of third-party libraries for specific scientific and mathematical domains like machine learning and data science. Also, Python’s simple and intuitive syntax makes it easy to work with numerical data. It allows developers to focus on the problem at hand rather than getting bogged down by language syntax and verbosity.
There are three main types of numbers in Python:
Integers
The integer data type comprises whole numbers. It included positive, negative, and zero. It supports a wide range of arithmetic operations and conversions, enabling us to perform a variety of ...