An in-depth analysis of Python data types: from basic types to complex types

Full analysis of Python data types: from basic types to composite types, specific code examples are required

Overview:
In Python programming, data types are very important the concept of. Python provides a wealth of data types, including basic types and composite types. This article will provide a comprehensive analysis of Python's data types, explaining their characteristics, usage and code examples.

1. Basic types

1. Integer type (int):
   Integer type is the data type representing integers in Python. It is immutable, that is, a new integer object is created every time an integer variable is modified. Integers can represent positive integers, negative integers, and zero. The following is an example of an integer variable:

a = 10
print(a)  # 输出 10

2. Floating point type (float):
   Floating point type is the data type that represents decimals in Python. It is also immutable. The following is an example of a floating-point variable:

b = 3.14
print(b)  # 输出 3.14

3. Boolean type (bool):
   The Boolean type is a data type that represents a true value in Python. It has only two values, True and False. The Boolean type is mainly used for conditional judgment and logical operations. The following is an example of a Boolean variable:

c = True
print(c)  # 输出 True

4. String (str):
   String is a data type that represents text in Python. It is an immutable sequence whose characters are accessible via index. Strings can be enclosed in single or double quotes, and triple quotes (''' or """) can be used to represent multi-line strings. The following is an example of a string variable:

d = "Hello, World!"
print(d)  # 输出 Hello, World!

2. Composite type

1. List (list):
   List is one of the most commonly used composite data types in Python. It is an ordered, variable sequence enclosed by square brackets Up, the elements can be different types of data. Elements in the list can be accessed and modified through indexes. The following is an example of a list:

e = [1, 2, 3, "four", True]
print(e)  # 输出 [1, 2, 3, "four", True]

2. Tuple (tuple):
   A tuple is also an ordered sequence, but is immutable and enclosed in parentheses. Once a tuple is created, its elements cannot be modified. The following is an example of a tuple:

f = (1, 2, 3, "four", True)
print(f)  # 输出 (1, 2, 3, "four", True)

3. Dictionary (dict):
   The dictionary is an associative array in Python, also called a hash table. It is an unordered collection of key-value pairs, enclosed in curly braces. Each key-value pair is represented by Composed of a key and a value, the key is unique. The values ​​in the dictionary can be accessed and modified through the key. The following is an example of a dictionary:

g = {"name": "Tom", "age": 18, "gender": "male"}
print(g)  # 输出 {"name": "Tom", "age": 18, "gender": "male"}

4. Set:
   A set is an unordered, non-repeating set of elements. It is mutable, but the elements in it must be immutable. You can use curly brackets or the set() function to create a set. The following is a set Example:

h = {1, 2, 3, 4, 5}
print(h)  # 输出 {1, 2, 3, 4, 5}

Conclusion:
This article provides a comprehensive analysis of Python data types, including basic types and composite types. Basic types include integers, floating point types, Boolean types, and strings. Composite types include lists, tuples, dictionaries, and sets. Through specific code examples, we have an in-depth understanding of their characteristics and usage. Familiarity with Python's data types is very important for writing efficient and reliable programs.

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