[Deep Learning] Python and NumPy Series Tutorials (4): Python Container: 2. Tuple Detailed Explanation (initialization, indexing and slicing, tuple characteristics, common operations, unpacking, traversal)

Table of contents

I. Introduction

2. Experimental environment

3. Python Containers (Containers)

0. Introduction to containers

1. List

2. Tuple

1. Initialization

a. Use parentheses ()

b. Omit parentheses

c. tuple() function

2. Access tuple elements

a. Index

b. slice

3. Characteristics of tuples

a. Immutable

b. Contains different types

c. Nestable

4. Common operations on tuples

a. Tuple length

b. Element count

c. Tuple concatenation

d. Tuple repetition

e. Check whether the element exists in the tuple

5. Unpacking

6. Traverse

a. for loop

b. enumerate() function


I. Introduction

        Python is a high-level programming language created by Guido van Rossum in 1991. It is known for its concise, easy-to-read syntax, powerful functionality, and wide range of applications. Python has a rich standard library and third-party libraries that can be used to develop various types of applications, including web development, data analysis, artificial intelligence, scientific computing, automation scripts, etc.

        Python itself is a great general-purpose programming language and, with the help of some popular libraries (numpy, scipy, matplotlib), becomes a powerful environment for scientific computing. This series will introduce the Python programming language and methods of using Python for scientific computing, mainly including the following content:

  • Python: basic data types, containers (lists, tuples, sets, dictionaries), functions, classes
  • Numpy: arrays, array indexing, data types, array math, broadcasting
  • Matplotlib: plots, subplots, images
  • IPython: Creating notebooks, typical workflow

2. Experimental environment

        Python 3.7

        Run the following command to check the Python version

 python --version 

3. Python Containers (Containers)

0. Introduction to containers

        Containers in Python are objects used to store and organize data. Common containers include List, Tuple, Set and Dictionary.

  • Lists are ordered mutable containers that can contain elements of different types and are created using square brackets ([]).
my_list = [1, 2, 3, 'a', 'b', 'c']
  • Tuples are ordered immutable containers that can also contain elements of different types and are created using parentheses (()).
my_tuple = (1, 2, 3, 'a', 'b', 'c')
  • A set is an unordered and non-duplicate container used to store unique elements. It is created using curly brackets ({}) or the set() function.
my_set = {1, 2, 3, 'a', 'b', 'c'}
  •  A dictionary is an unordered container of key-value pairs used to store values ​​with unique keys. It is created using curly braces ({}) or the dict() function.
my_dict = {'name': 'Alice', 'age': 25, 'city': 'New York'}

        These containers provide different methods and operations for storing, accessing and processing data. You can choose a suitable container type according to your specific needs.

1. List

[Deep Learning] Python and NumPy Series Tutorials (3): Python Container: 1. Detailed explanation of List (initialization, indexing, slicing, updating, deletion, common functions, unpacking, traversal)_QomolangmaH's blog-CSDN blog https: icon-default.png?t=N7T8// blog.csdn.net/m0_63834988/article/details/132768246?spm=1001.2014.3001.5501

2. Tuple

        A tuple (tuple) is a sequence type in Python, similar to a list, which can store multiple elements. Unlike lists, tuples are immutable and cannot be modified once created .

1. Initialization

a. Use parentheses ()

my_tuple = ()

        A tuple created this way is empty and contains no elements.

        Create tuples using parentheses () and comma-separated elements:

my_tuple = (1, 2, 3)

b. Omit parentheses

my_tuple = 1, 2, 3

        Comma-separated elements are combined into a tuple. The parentheses are omitted, but still a tuple.

c.  tuple() function

   tuple()Functions can convert other iterable objects (such as lists, strings, dictionaries, etc.) into tuples.

  • Convert list to tuple:
my_list = [1, 2, 3, 4, 5]
my_tuple = tuple(my_list)
print(my_tuple)  # 输出:(1, 2, 3, 4, 5)
  • Convert string to tuple:
my_string = "Hello, World!"
my_tuple = tuple(my_string)
print(my_tuple)  # 输出:('H', 'e', 'l', 'l', 'o', ',', ' ', 'W', 'o', 'r', 'l', 'd', '!')
  • Convert dictionary to tuple:
my_dict = {'a': 1, 'b': 2, 'c': 3}
my_tuple = tuple(my_dict)
print(my_tuple)  # 输出:('a', 'b', 'c')

2. Access tuple elements

a. Index

# 使用索引访问元组中的特定元素
print(my_tuple[0])      # 输出:a
print(my_tuple[-1])      # 输出:d

b. slice

# 使用切片操作获取元组的子序列
print(my_tuple[1:3])    # 输出:('b', 'c')
print(my_tuple[1:])     # 输出:('b', 'c', 'd')
print(my_tuple[:])      # 输出:('a', 'b', 'c', 'd')
print(my_tuple[1:-1])   # 输出:('b',)
print(my_tuple[:-1])    # 输出:('a', 'b', 'c')

3. Characteristics of tuples

a. Immutable

        Tuples are immutable; once created, the elements of a tuple cannot be modified. Elements in a tuple cannot be added, deleted, or modified.

my_tuple = (1, 2, 3)
my_tuple[0] = 4  # 会引发一个类型错误(TypeError: 'tuple' object does not support item assignment)

b. Contains different types

        Tuples can contain elements of different types, such as integers, strings, floating point numbers, etc.

my_tuple = (1, "hello", 3.14)

c. Nestable

        Tuples can be nested, that is, tuples can contain other tuples as elements.

# 访问元组中的元素
element1 = nested_tuple[0]
print(element1)  # 输出: (1, 'hello')
print(nested_tuple[2][0])  # 输出: world

4. Common operations on tuples

a. Tuple length

b. Element count

c. Tuple concatenation

d. Tuple repetition

e. Check whether the element exists in the tuple

my_tuple = (1, 2, 3)

# 获取元组的长度
print(len(my_tuple))  # 输出:3

# 元素计数
print(my_tuple.count(2))  # 输出: 1(元素2在元组中出现的次数)

# 元组拼接
new_tuple = my_tuple + (4, 5)
print(new_tuple)  # 输出:(1, 2, 3, 4, 5)

# 元组重复
repeated_tuple = my_tuple * 2
print(repeated_tuple)  # 输出:(1, 2, 3, 1, 2, 3)

# 检查元素是否存在于元组中
print(2 in my_tuple)  # 输出:True
print(4 not in my_tuple)  # 输出:True

5. Unpacking

        Tuple unpacking (Tuple destructuring, Tuple Unpacking) is a method of assigning the elements of a tuple to multiple variables. Through tuple destructuring, the values ​​in the tuple can be easily assigned to the corresponding variables.

my_tuple = (1, 2, 3)
a, b, c = my_tuple
print(a)  # 输出:1
print(b)  # 输出:2
print(c)  # 输出:3

        In this example, the tuple my_tuplecontains three elements, 1, 2, and 3. Through tuple destructuring, we assign these three values ​​​​to variables a, band c. The result is that the variable ahas a value of 1, the variable bhas a value of 2, and the variable chas a value of 3.

        It should be noted that the number of variables must be the same as the number of elements in the tuple, otherwise an exception will be thrown.

  • The number of variables is less than the number of elements in the tuple:
my_tuple = (1, 2, 3)
a, b = my_tuple
ValueError: too many values to unpack (expected 2)
  • There are more variables than elements in the tuple:
my_tuple = (1, 2, 3)
a, b, c, d = my_tuple
ValueError: not enough values to unpack (expected 4, got 3)

6. Traverse

a. for loop

my_tuple = (1, 2, 3, 4, 5)
for element in my_tuple:
    print(element)

b.  enumerate()function

my_tuple = (1, 2, 3, 4, 5)

for index, element in enumerate(my_tuple):
    print(f"Index: {index}, Element: {element}")

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