numerics

简明释义

英[njuːˈmɛrɪks]美[nʊˈmɛrɪks]

数字（numeric 的复数）

英英释义

单词用法

同义词

反义词

例句

1.You're going to get a chance to explore them, and you'll see not only are there the standard numerics for strings, there are things like length or plus or other things you can do with them.

以后你们还会学到更多，你会学到字符串，不仅仅能运用标准数值运算，你还可以对他们求长度，或者加上其他的东西。

2.You're going to get a chance to explore them, and you'll see not only are there the standard numerics for strings, there are things like length or plus or other things you can do with them.

以后你们还会学到更多，你会学到字符串，不仅仅能运用标准数值运算，你还可以对他们求长度，或者加上其他的东西。

3.In addition to the large display, the 1500 Patient Monitor offers large font numerics and graphics on an antiglare screen for greater visibility in any lighting conditions.

除了大型显示器之外，1500患者监护仪还在防眩屏上提供字体较大的数字和图形，以提高在任何照明条件下的可见度。

4.In another test, a completely randomized database (consisting of both ASCII characters and numerics) went from 250mb to 185mb.

在另一场测试中，一个完全随机化的数据库(由ascii字符和数字组成)从250MB变为185 MB。

5.You would have to hand code the validation to root out this bug — not to mention invalid dates and invalid numerics.

也许您必须手工编写验证代码来根除这个bug，而不关心非法的日期和非法的数字。

6.Wild card masks: For example, an account number must have two alphas followed by any number of numerics.

通配符掩码：例如，帐目编码必须由两个字母加任意数量的数字组成。

7.Of course aside from those characters, alpha-numerics are allowed and don't need to be encoded.

当然，从这些字符外，英文字母和数字是可以直接使用而不需要进行编码的：。

8.The EMPNO field only contains numerics and Unicode support is not needed.

empno字段仅仅包含数字，且不需要Unicode支持。

9.For example, interesting work has been done in numerics and for graphs.

比如在数值运算和图论方面都有了许多有趣的工作。

10.The software's performance is measured using various numerics, which are essential for optimization.

该软件的性能通过各种数值进行测量，这对于优化至关重要。

11.In data analysis, understanding the numerics can lead to better decision-making.

在数据分析中，理解数值可以帮助做出更好的决策。

12.The financial report includes several key numerics that indicate the company's growth.

财务报告包含几个关键的数值，表明公司的增长情况。

13.When programming, you often need to handle numerics for calculations and algorithms.

在编程时，您通常需要处理数值以进行计算和算法。

14.The research paper focuses on the numerics of climate change models and their predictions.

这篇研究论文关注气候变化模型及其预测的数值。

作文

In today's data-driven world, the importance of numerics (数字) cannot be overstated. The ability to analyze and interpret numerical data is essential in various fields, including science, finance, and technology. Understanding numerics allows individuals and organizations to make informed decisions based on quantitative evidence rather than assumptions or gut feelings. For instance, in the field of finance, professionals rely heavily on numerics to evaluate investment opportunities and assess risks. Financial analysts use complex models that incorporate various numerics such as interest rates, stock prices, and economic indicators to predict market trends. Without a solid grasp of numerics, it would be nearly impossible to navigate the complexities of financial markets effectively. Similarly, in the realm of scientific research, numerics plays a crucial role in experimentation and data analysis. Researchers collect vast amounts of data during experiments, and the interpretation of this data often hinges on statistical numerics. For example, when testing a new drug, scientists must analyze the effects on different populations using various statistical methods, which are inherently based on numerics. This analysis helps determine the efficacy and safety of the drug, ultimately impacting public health. Moreover, in technology and engineering, numerics is foundational for developing algorithms and software applications. Programmers and developers utilize numerics to create efficient code that can process data quickly and accurately. In machine learning, for instance, numerics is used to train models on datasets, enabling computers to learn from data and make predictions. The reliance on numerics in these fields underscores its significance in driving innovation and technological advancement. Furthermore, the rise of big data has amplified the need for proficiency in numerics. Organizations today are inundated with vast quantities of data generated from various sources, including social media, sensors, and online transactions. To harness the potential of this data, businesses must employ skilled data analysts who can manipulate and interpret numerics to extract meaningful insights. These insights can guide strategic decisions, enhance customer experiences, and optimize operations. However, despite the clear advantages of understanding numerics, many individuals struggle with mathematical concepts. This challenge can lead to a lack of confidence in working with data, which is detrimental in a world where data literacy is increasingly important. To address this issue, educational institutions must prioritize mathematics and data analysis in their curricula, ensuring that students develop a strong foundation in numerics from an early age. In conclusion, numerics (数字) is a vital component of modern society, influencing various sectors from finance to healthcare and technology. As we continue to generate and rely on data, the ability to understand and utilize numerics will become even more critical. By fostering a culture of data literacy and encouraging the study of numerics, we can empower individuals to make informed decisions and drive progress in their respective fields. The future belongs to those who can harness the power of numerics effectively.

在当今数据驱动的世界中，numerics（数字）的重要性不容低估。分析和解释数值数据的能力在科学、金融和技术等多个领域都是必不可少的。理解numerics使个人和组织能够根据定量证据做出明智的决策，而不是基于假设或直觉。 例如，在金融领域，专业人员在评估投资机会和评估风险时非常依赖numerics。金融分析师使用复杂的模型，结合各种numerics，如利率、股票价格和经济指标，以预测市场趋势。如果没有对numerics的扎实掌握，几乎不可能有效地驾驭金融市场的复杂性。 同样，在科学研究领域，numerics在实验和数据分析中起着至关重要的作用。研究人员在实验过程中收集大量数据，而对这些数据的解释通常依赖于统计numerics。例如，在测试新药时，科学家必须使用各种统计方法分析对不同人群的影响，这些方法本质上基于numerics。这种分析有助于确定药物的有效性和安全性，最终影响公共健康。 此外，在技术和工程领域，numerics是开发算法和软件应用的基础。程序员和开发人员利用numerics创建高效的代码，以便快速准确地处理数据。在机器学习中，例如，numerics用于在数据集上训练模型，使计算机能够从数据中学习并进行预测。这些领域对numerics的依赖凸显了它在推动创新和技术进步中的重要性。 此外，大数据的兴起加大了对numerics熟练程度的需求。如今，各组织面临来自社交媒体、传感器和在线交易等各个来源生成的大量数据。为了利用这些数据的潜力，企业必须雇用熟练的数据分析师，他们能够操作和解释numerics以提取有意义的见解。这些见解可以指导战略决策、提升客户体验和优化运营。 然而，尽管理解numerics的优点显而易见，许多人在数学概念方面仍然存在困难。这种挑战可能导致在处理数据时缺乏信心，这在一个数据素养日益重要的世界中是有害的。为了解决这个问题，教育机构必须优先考虑数学和数据分析课程，确保学生从小就建立对numerics的坚实基础。 总之，numerics（数字）是现代社会的重要组成部分，影响着从金融到医疗保健和技术的各个领域。随着我们继续生成并依赖数据，理解和利用numerics的能力将变得更加关键。通过培养数据素养文化并鼓励学习numerics，我们可以赋予个人做出明智决策和推动各自领域进步的能力。未来属于那些能够有效利用numerics的人。