tuples

简明释义

英[ˈtʌpəlz]美[ˈtʌpəlz]

n. [计]元组（tuple 的复数）

英英释义

单词用法

同义词

反义词

例句

1.By default, we will only cache tuples potentially smaller than 150,000.

默认情况下，我们将仅可能缓存少于150,000的元组。

2.The operators work by comparing each individual element of the two participating tuples from left to right (see Listing 6).

这些运算符的工作原理是从左到右地比较两个参与元组的每个单独的元素(请参见清单6)。

3.No specialized Python classes are used in the representation — just tuples, dicts, lists, and strings (and None in the reserved position).

表示中没有使用专门的python类——只使用了元组、字典、列表和字符串(以及保留位置上的None)。

4.Tuples are a composite data type and are used to store collections of items.

元组是复合的数据类型，用于存储数据项的集合。

5.The where clause directs the program to discard particular tuples if they do not meet particular conditions.

如果特定的元组不能满足特殊条件，那么where 子句命令程序废弃这些元组。

6.Performance benefits are realized when an index reduces the number of rows (or tuples) examined by the DBMS during query execution.

索引可以减少DBMS在执行查询时检查的行(或元组)数量，从而获得性能增益。

7.You can unpack tuples 元组 into separate variables for easier access to their elements.

您可以将tuples 元组解包到单独的变量中，以便更轻松地访问其元素。

8.In functional programming, tuples 元组 are commonly used to group multiple return values.

在函数式编程中，tuples 元组通常用于将多个返回值分组。

9.Database records are often represented as tuples 元组 in relational databases.

数据库记录通常在关系数据库中表示为tuples 元组。

10.When working with coordinates, you can use tuples 元组 to store (x, y) pairs.

在处理坐标时，可以使用tuples 元组存储(x, y)对。

11.In Python, a list can be converted to a set of tuples 元组 for unique element storage.

在Python中，可以将列表转换为一组tuples 元组以存储唯一元素。

作文

In the realm of computer science and programming, understanding data structures is crucial for efficient coding and problem-solving. One such data structure that plays a significant role in many programming languages is the concept of tuples. A tuple is a collection of ordered elements, which can be of different types. Unlike lists, tuples are immutable, meaning that once they are created, their contents cannot be changed. This property makes them particularly useful in situations where the integrity of the data must be preserved.For example, consider a scenario where we need to store the coordinates of a point in a two-dimensional space. We could represent this point using a tuple like (3, 4), where 3 represents the x-coordinate and 4 represents the y-coordinate. By using a tuple, we ensure that these coordinates remain constant throughout the program, preventing any accidental modifications that could lead to errors.Moreover, tuples are often used to return multiple values from a function. In many programming languages, it is common to have functions that need to provide more than one output. Instead of using multiple return statements or altering global variables, developers can simply return a tuple. For instance, a function that calculates the area and perimeter of a rectangle might return a tuple containing both values: (area, perimeter).The immutability of tuples also contributes to their performance advantages. Because they cannot be altered, they can be optimized by the programming language’s interpreter or compiler, leading to faster execution times in certain scenarios. This makes tuples an excellent choice for scenarios where performance is critical, such as in high-frequency trading applications or real-time data processing systems.In addition to their performance benefits, tuples can also enhance code readability. When a tuple is used, it often conveys that the elements are related and should be treated as a single entity. This can make the code easier to understand for other developers who may work on the same project. For example, when someone sees a tuple representing a date like (2023, 10, 31), it is clear that these three values are meant to represent a specific date rather than three unrelated integers.However, while tuples offer many advantages, they also come with some limitations. For instance, since they are immutable, if you need to change any of the values within a tuple, you will have to create a new tuple altogether. This can lead to increased memory usage in some cases, especially if you are working with large datasets. Therefore, it is essential to consider the specific requirements of your application when deciding whether to use tuples or other data structures like lists or dictionaries.In conclusion, tuples are a fundamental data structure in programming that provides a way to store ordered collections of items. Their immutability, performance benefits, and ability to enhance code clarity make them a valuable tool for developers. Whether you are returning multiple values from a function or ensuring data integrity, understanding how to effectively utilize tuples can significantly improve your coding practices. As technology continues to evolve, the importance of mastering data structures like tuples will only grow, making it a vital skill for aspiring programmers and seasoned developers alike.

在计算机科学和编程领域，理解数据结构对于高效编码和解决问题至关重要。一个在许多编程语言中扮演重要角色的数据结构就是元组的概念。元组是有序元素的集合，可以是不同类型的。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。这一特性使得它们在需要保护数据完整性的情况下特别有用。例如，考虑一个场景，我们需要存储二维空间中一个点的坐标。我们可以用一个元组表示这个点，比如(3, 4)，其中3代表x坐标，4代表y坐标。通过使用元组，我们确保这些坐标在整个程序中保持不变，防止任何意外修改导致错误。此外，元组通常用于从函数返回多个值。在许多编程语言中，常常有需要提供多个输出的函数。开发者可以简单地返回一个元组，而不是使用多个返回语句或改变全局变量。例如，一个计算矩形面积和周长的函数可以返回一个包含这两个值的元组： (area, perimeter)。元组的不可变性也有助于它们的性能优势。因为它们不能被更改，所以可以被编程语言的解释器或编译器优化，从而在某些场景中提高执行速度。这使得元组成为性能关键场景（如高频交易应用或实时数据处理系统）的绝佳选择。除了性能优势，元组还可以增强代码的可读性。当使用元组时，通常表明这些元素是相关的，应该作为一个整体来处理。这可以使其他可能在同一项目上工作的开发者更容易理解代码。例如，当有人看到一个表示日期的元组，如(2023, 10, 31)，很明显这三个值是要表示一个特定日期，而不是三个无关的整数。然而，虽然元组提供了许多优势，但它们也有一些局限性。例如，由于它们是不可变的，如果您需要更改元组中的任何值，您将不得不创建一个新的元组。在某些情况下，这可能会导致内存使用量增加，特别是在处理大型数据集时。因此，在决定使用元组还是其他数据结构（如列表或字典）时，考虑您应用程序的具体需求是至关重要的。总之，元组是编程中一种基本的数据结构，提供了一种存储有序项集合的方法。它们的不可变性、性能优势以及增强代码清晰度的能力，使它们成为开发者的重要工具。无论您是从函数返回多个值，还是确保数据完整性，理解如何有效利用元组都可以显著改善您的编码实践。随着技术的不断发展，掌握像元组这样的数据结构的重要性只会增加，这使其成为有抱负的程序员和经验丰富的开发者必备的技能。