Check out what methods are available for commonly used data types in Python

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:

1. View numeric types
   The numeric types in Python include integers and floating point numbers. We can use the type() function to check the data type of a variable.

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'>

2. View string type
   String is one of the commonly used data types in Python. Likewise, we can use the type() function to see the type of a string variable.

Sample code:

str_var = "Hello, Python!"

print(type(str_var))    # 输出：<class 'str'>

3. View list type
   A list is an ordered collection that can contain elements of different types. We can use the type() function to see the type of a list variable.

Sample code:

list_var = [1, "two", True]

print(type(list_var))    # 输出：<class 'list'>

4. View tuple types
   Tuples are similar to lists, but cannot be modified once created. Likewise, we can use the type() function to see the type of a tuple variable.

Sample code:

tuple_var = (1, "two", True)

print(type(tuple_var))    # 输出：<class 'tuple'>

5. View dictionary type
   A dictionary is a data structure of key-value pairs. We can use the type() function to check the type of a dictionary variable.

Sample code:

dict_var = {"name": "Tom", "age": 20}

print(type(dict_var))    # 输出：<class 'dict'>

6. View collection type
   A collection is an unordered, non-repeating data structure. We can use the type() function to see the type of a collection variable.

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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