tuple

简明释义

英[tjʊpəl;ˈtʌpəl]美[ˈtjʊpəl;ˈtʌpəl]

n. [计] 元组，重数

英英释义

单词用法

同义词

反义词

例句

1.To return a tuple from a function, you must invoke make_tuple.

要从函数返回元组，您必须调用make_tuple。

2.The identifier is a tuple of the form {name, version}.

该标识符是形如 {名称, 版本}的元组。

3.Demonstrate the creation of each part of the Monkeybars MVC tuple.

演示Monkeybarsmvc组每个部分的创建。

4.You create your tuple, and you can't change it after that.

您可以创建tuple，但在创建之后不能修改它。

5.A is initialized with a tuple containing a and a _paras list.

用包含和_ paras列表的元组进行了初始化。

6.The return clause defines what to return for each tuple.

return子句定义每个元组要返回的内容。

7.The coordinates of a point in a 2D space can be represented as a tuple 元组 (x, y).

二维空间中一个点的坐标可以表示为一个 tuple 元组 (x, y)。

8.When you want to return multiple values from a function, you can use a tuple 元组.

当你想从函数返回多个值时，可以使用 tuple 元组。

9.In Python, a tuple 元组 is an immutable sequence of values.

在Python中，tuple 元组 是一个不可变的值序列。

10.You can store multiple items in a single tuple 元组 for easier data management.

你可以将多个项目存储在一个单独的 tuple 元组 中，以便于数据管理。

11.A tuple 元组 can contain different data types, such as integers, strings, and lists.

一个 tuple 元组 可以包含不同的数据类型，例如整数、字符串和列表。

作文

In the world of computer science and programming, data structures play a crucial role in how we organize and manipulate information. One such fundamental data structure is the tuple, which is widely used across various programming languages. A tuple is essentially an ordered collection of elements that can hold multiple items in a single variable. Unlike lists, tuples are immutable, meaning once they are created, their contents cannot be changed. This property makes tuples particularly useful for representing fixed collections of items that should not be altered throughout the program's execution.For instance, consider a scenario where you are developing a program to manage employee records. Each employee might have a fixed set of attributes such as their ID, name, and department. You could represent each employee's information using a tuple. The employee record might look like this: employee = (tuple(1234, 'John Doe', 'Engineering')). Here, the tuple holds three pieces of information about the employee, and because it is a tuple, you can be sure that these details will remain intact.One of the key advantages of using tuples is their efficiency. Since they are immutable, they require less memory and can be processed faster than lists. This efficiency is particularly beneficial when dealing with large datasets or when performance is critical. Furthermore, tuples can be used as keys in dictionaries because they are hashable, allowing for quick lookups and retrievals.Moreover, tuples can also be nested, meaning you can create a tuple that contains other tuples. For example, if you wanted to store information about multiple employees, you could use a tuple of tuples: employees = (tuple(1234, 'John Doe', 'Engineering'), tuple(5678, 'Jane Smith', 'Marketing')). This allows for a clean and organized way to manage complex data structures without losing the immutability feature.In addition to their practical applications, tuples also have a significant role in mathematical contexts, particularly in fields like linear algebra and statistics. In mathematics, a tuple can represent a point in space, where each element corresponds to a coordinate. For example, a point in three-dimensional space can be represented as a tuple (x, y, z). This representation is essential for various calculations and transformations in geometry and data analysis.To summarize, understanding the concept of a tuple is vital for anyone interested in programming or data management. The unique properties of tuples, such as immutability and efficiency, make them an invaluable tool for organizing data. Whether you are managing employee records in a software application or performing calculations in a mathematical context, tuples provide a reliable and efficient way to handle collections of items. Embracing the use of tuples can lead to better code organization, improved performance, and a deeper understanding of data structures in programming.

在计算机科学和编程的世界中，数据结构在我们如何组织和处理信息方面起着至关重要的作用。其中一种基本的数据结构是元组，它在各种编程语言中被广泛使用。元组本质上是一个有序的元素集合，可以在一个变量中保存多个项目。与列表不同，元组是不可变的，这意味着一旦创建，它们的内容就不能更改。这一特性使得元组特别适合表示在程序执行过程中不应更改的固定项集合。例如，考虑一个开发员工记录管理程序的场景。每个员工可能有一组固定的属性，如其ID、姓名和部门。您可以使用元组来表示每个员工的信息。员工记录可能如下所示：employee = (元组(1234, 'John Doe', 'Engineering'))。在这里，元组包含有关员工的三条信息，并且由于它是元组，您可以确保这些细节将保持不变。使用元组的一个主要优点是它们的效率。由于它们是不可变的，因此它们占用的内存更少，并且比列表处理速度更快。这种效率在处理大型数据集或性能至关重要时尤为有益。此外，元组可以用作字典中的键，因为它们是可哈希的，从而允许快速查找和检索。此外，元组还可以嵌套，这意味着您可以创建一个包含其他元组的元组。例如，如果您想存储多个员工的信息，可以使用一个元组的元组：employees = (元组(1234, 'John Doe', 'Engineering'), 元组(5678, 'Jane Smith', 'Marketing'))。这提供了一种干净且有组织的方式来管理复杂的数据结构，而不会失去不可变性特征。除了它们的实际应用外，元组在数学上下文中也具有重要作用，尤其是在线性代数和统计学等领域。在数学中，元组可以表示空间中的一个点，其中每个元素对应于一个坐标。例如，三维空间中的一个点可以表示为一个元组(x, y, z)。这种表示对于几何和数据分析中的各种计算和变换至关重要。总之，理解元组的概念对任何对编程或数据管理感兴趣的人来说都是至关重要的。元组的独特属性，如不可变性和效率，使其成为组织数据的宝贵工具。无论您是在软件应用中管理员工记录，还是在数学上下文中进行计算，元组都提供了一种可靠且高效的方式来处理项集合。接受使用元组可以导致更好的代码组织、改善性能，以及对编程中数据结构的更深刻理解。