In Python, numeric data type is used to hold numeric values. Integers, floating-point numbers and complex numbers fall under Python numbers category. They are defined as int, float and complex classes in Python. int - holds signed integers of non-limited length. float - holds floating decimal points and it's accurate up to 15 decimal places.

The programs demonstrate various Python concepts like data types, arithmetic operations, strings, dates, lists, tuples, dictionaries, conditional statements, functions, modules, recursion, and more. The experiments progress from basic concepts to more advanced topics like defining modules and importing functions.

Oct 21, 2022 · Write a program to demonstrate different number data types in Python (All number types) Create a generic function to add, subtract, multiply and divide all the three number types. Then create six variables, one pair of each variable for integer, float and complex number.

If you want to write error-free code, then as a Python developer, you should understand data types in Python. Each data type has its own strengths and appropriate use cases: Integers and Floats: For numerical calculations and representing quantities; Strings: For text processing and representation; Lists: For ordered, mutable collections

Mar 16, 2019 · What are the Python numeric data types? The difference between int and long. Their range of values. Why is boolean not the main data type in Python?

Apr 15, 2025 · When you work with numbers in Python, you use numeric data types in Python. They let you handle different types of numeric values like whole numbers, decimals, or even complex numbers. Let's learn the numeric data types in Python: int: Used for whole numbers. These are signed integers like 10, -5, or 0.

Mar 25, 2025 · Numeric data types in Python include integers, floating-point numbers, and complex numbers. An integer represents whole numbers without a decimal point. It can be positive, negative, or zero. A floating-point number (or …

12 hours ago · Numeric data types are used to store numbers. Python supports three types of numeric types: 1.) Integer (int): An integer is a whole number that does not have a fractional or decimal part. It can be positive, negative, or zero. In Python, integers are created by assigning a whole number value to a variable. Example:

There are different data types in Python. Some of them are listed below. Integers, floating-point numbers, and complex numbers fall under Python numbers category. Hence, the number of datatype is used to hold numeric values. They are characterized as int, float, and complex classes in Python. Integers are whole numbers without any decimal values.

In programming, data type is an important concept. Variables can store data of different types, and different types can do different things. Python has the following data types built-in by default, in these categories: You can get the data type of any object by using the type() function: Print the data type of the variable x: