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Python is a concise and powerful programming language that supports a variety of data types. When writing Python programs, we often need to check the type of data in order to understand the structure and characteristics of the data, and then perform corresponding operations and processing. This article will introduce commonly used data type viewing methods in Python and provide corresponding code examples.
In Python, commonly used data types include numeric types, string types, list types, tuple types, dictionary types and set types. The following are viewing methods and sample codes for each data type:
Sample code:
num_int = 10 num_float = 3.14 print(type(num_int)) # 输出:<class 'int'> print(type(num_float)) # 输出:<class 'float'>
Sample code:
str_var = "Hello, Python!" print(type(str_var)) # 输出:<class 'str'>
Sample code:
list_var = [1, "two", True] print(type(list_var)) # 输出:<class 'list'>
Sample code:
tuple_var = (1, "two", True) print(type(tuple_var)) # 输出:<class 'tuple'>
Sample code:
dict_var = {"name": "Tom", "age": 20} print(type(dict_var)) # 输出:<class 'dict'>
Sample code:
set_var = {1, 2, 3} print(type(set_var)) # 输出:<class 'set'>
Through the above code examples, we can clearly see the viewing methods of commonly used data types in Python. You can easily obtain the data type of a variable using the type() function, so that you can perform corresponding operations and processing on the data. These methods are very practical in daily Python programming and can help us better understand and use data. I hope this article can be helpful to Python beginners.
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