![]() To create a tuple in Python, enclose a sequence of values in parentheses, separated by commas. Tuples are represented using parentheses (). However, unlike lists, tuples are immutable, which means that their values cannot be changed once they are created. They can be empty, or they can contain any number of items.Ī tuple is a Python data type that is similar to a list in that it is an ordered collection of values. Lists in Python can hold any data type, including integers, floats, strings, and other lists. To create a list in Python, enclose a sequence of values in square brackets, separated by commas. In Python, list data types are represented using square brackets and each item in the list is separated by a comma. Strings in Python can represent any sequence of characters, including letters, numbers, punctuation, and whitespace.Ī list is a collection of items that are ordered and changeable. To create a string in Python, simply enclose a sequence of characters in single quotes or double quotes. Strings are represented using single quotes (‘…’) or double quotes (“…”). Python String data type is a sequence of characters that is used to represent text. Complex numbers in Python can represent a wide range of values, both real and imaginary. Python Provides built-in functions for working with complex numbers, such as abs(), conjugate(), and real(). A complex number is a number that has a real part and an imaginary part, written in the form a + bj, where a is the real part, b is the imaginary part, and j is the square root of -1. Floats in Python can represent a wide range of values, from approximately 1.7 × 10^308 to 5.0 × 10^-324.įloating-point numbers may not always be precise due to the way they are represented in a computer.It is generally not recommended to compare floats for equality directly, but rather to check if the difference between two floats is less than a small tolerance value.Ĭomplex Number in python is represented using the complex data type. In Python, you can create a float by simply assigning a number with a decimal point to a variable. In Python, you can create an integer by simply assigning a whole number to a variable.Ī float in Python is a number that has a decimal point, or a number written in scientific notation. Integers in Python can range from -2^31 to 2^31-1, or from -2^63 to 2^63-1 for 64-bit systems. Integers support all of the standard mathematical operations, including addition, subtraction, multiplication, and division. An integer is a whole number without a decimal point. ![]() IntegerĪn integer is one of the basic built-in data types in python. Python Data Typesīelow is the complete list of python Data types: 1. None Type The NoneType in Python represents the absence of a value. Binary Type Binary in Python includes bytes, bytearray, and memoryview. Boolean Type The boolean in Python represents logical values True and False. ![]() Set Type The set and frozenset in Python allow you to store a collection of unique items. Mapping Type The mapping in Python is the dictionary, which allows you to store key-value pairs. Character Type String Sequence Type The sequence in Python includes lists, tuples, and ranges. These categories include: Type Category Description Numeric Type Numerics in Python include integers, floats, and complex numbers. ![]() There are several categories of built-in data types that you can use to store and manipulate data. Understanding these data types and their features is important for writing effective and efficient Python code. In Python, there are a variety of built-in data types that can be used to represent different kinds of data. They are important because they help ensure that programs handle data in a consistent and predictable manner, which can lead to fewer errors and more efficient code. Summary and Conclusion What are Data Types in Python?Ī data type is a classification of data that defines the possible values that an object can take, the operations that can be performed on that object, and the way in which the object is stored in memory.
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