What are the python data types?

Python data types include: 1. Integer type; 2. Floating point type; 3. Complex number; 4. Boolean type; 5. String; 6. List; 7. Tuple; 8. Set; 9 ,dictionary. Detailed introduction: 1. Integer type, used to represent integers, which can be positive, negative, or zero. In Python, the range of values ​​that integers can represent is platform-specific; 2. Floating point type, used to represent numbers with decimal parts. Numbers, floating point type can represent positive numbers, negative numbers and zero; 3. Complex numbers, used to represent complex numbers, including real and imaginary parts; 4. Boolean type, used to represent Boolean values, etc.

The operating system for this tutorial: Windows 10 system, DELL G3 computer.

Python is a widely used high-level programming language designed to allow developers to write clear and easy-to-understand code more quickly. Python has a simple and easy-to-learn syntax and rich libraries and frameworks, and is suitable for a variety of application scenarios, including web development, data science, artificial intelligence, machine learning and other fields.

Python’s basic data types include numeric, string, list, tuple, dictionary and set types. Numeric types include integers, floating point types and complex numbers. Strings are immutable character sequences. Lists and tuples are mutable sequence types. Dictionaries are unordered collections of key-value pairs. Sets are unordered and do not contain A collection of repeated elements.

The following are the common ones:

1. Integer type (int): Used to represent integers, which can be positive, negative or zero. In Python, the range of values ​​that integers can represent is platform-specific.

2. Float type (float): is used to represent numbers with decimal parts. Floating point types can represent positive numbers, negative numbers, and zero.

3. Complex: is used to represent complex numbers, including real and imaginary parts.

4. Boolean type (bool): is used to represent a Boolean value, that is, True or False.

5. String (str): An ordered character sequence composed of zero or more characters. Strings are immutable, which means you cannot change the characters in the string.

6. List: Contains a set of ordered items, each item can be a different type of data. Lists are mutable, i.e. you can add, remove or change elements in the list.

7. Tuple: Similar to a list, a tuple contains an ordered set of items, but a tuple is immutable, which means you cannot change the items in the tuple. Elements.

8. Set: Contains a set of unordered and non-repeating elements. Sets provide some useful operations such as union, intersection, and difference.

9. Dictionary: An unordered collection containing key-value pairs. Each element in the dictionary consists of a key and a value, the keys and values ​​are separated by colons, the elements are separated by commas, and the entire dictionary is enclosed in curly braces.

Python also has powerful standard libraries and third-party libraries, such as NumPy, Pandas, Matplotlib, etc., which provide powerful tools for data processing, visualization and scientific computing. Python's easy-to-learn syntax and rich library make it an easy language to learn and use for both beginners and experienced developers.

Another important feature of Python is its dynamic type system. This means that you don't need to declare the type of your variables in advance, Python will automatically keep track of the type of each variable. This makes Python code cleaner, but also means that unexpected type errors can occur in some cases.

Python's syntax is also very unique. It uses indentation to represent code blocks instead of using curly braces like other languages. This makes the code easier to read and understand, but it also requires remembering the correct way to indent.

Python also has strong community support, and there are a large number of open source libraries and frameworks that can be used for a variety of different tasks. This makes Python a very flexible and extensible language, and no matter what task you need to accomplish, it's likely to find a ready-made library to help you.

The above is the detailed content of What are the python data types?. For more information, please follow other related articles on the PHP Chinese website!