Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision...Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.展开更多
准确预测电容器组在一段时间内的电容,分析其变化趋势,对并联电容器组的安全使用、延长寿命有很重要的意义。本文提出一种基于Microsoft时序算法,采用电能质量监测数据的10 k V侧并联电容器组电容预测模型,并在此基础上设计了并联电容...准确预测电容器组在一段时间内的电容,分析其变化趋势,对并联电容器组的安全使用、延长寿命有很重要的意义。本文提出一种基于Microsoft时序算法,采用电能质量监测数据的10 k V侧并联电容器组电容预测模型,并在此基础上设计了并联电容组电容趋势分析及预测预警系统。通过该系统,用户不仅能够监测电容器组的运行状态,为电容器组故障分析提供可靠依据,而且可以预测电容器组电容值的变化趋势,并实现其寿命预警。实际运行效果验证了该模型的可行性与准确性。展开更多
Microsoft Excel软件是一种图表功能强大的计算机数据处理软件。应用Excel程序处理物理化学实验数据可使原本复杂的数据处理过程变得简单、快捷,同时还可避免因手工绘图而引入的误差,提高实验结果的准确度和精确度。本文通过介绍几个典...Microsoft Excel软件是一种图表功能强大的计算机数据处理软件。应用Excel程序处理物理化学实验数据可使原本复杂的数据处理过程变得简单、快捷,同时还可避免因手工绘图而引入的误差,提高实验结果的准确度和精确度。本文通过介绍几个典型的物理化学实验数据处理过程来说明如何利用Excel软件快速地处理物理化学实验数据。展开更多
简要讨论了通用文字处理软件Microsoft Word 在金相图像二值化处理、网格计点法测量体积分数和金相图片文字标注等方面的应用可能,为定量金相或材料显微组织定量分析技术提供了一种新的、极为容易普及推广的简便操作方法,尤其适用于那...简要讨论了通用文字处理软件Microsoft Word 在金相图像二值化处理、网格计点法测量体积分数和金相图片文字标注等方面的应用可能,为定量金相或材料显微组织定量分析技术提供了一种新的、极为容易普及推广的简便操作方法,尤其适用于那些不具备定量金相专用软件而又需要对显微组织进行定量分析的情况。本文建议的方法同样可推广应用于生物医学显微组织图像的处理与定量分析。展开更多
The structure and features of Microsoft eBook are delineated.Microsoft eBook follows the Open eBook Publication Structure standard,which is based on XML and provides a simple and lightweight content specification for ...The structure and features of Microsoft eBook are delineated.Microsoft eBook follows the Open eBook Publication Structure standard,which is based on XML and provides a simple and lightweight content specification for eBook.As a reading-oriented rather than publication-or-printing-oriented solution,Microsoft eBook supports limited page layouts and implements elementary digital right management functions,while requiring special reading software.展开更多
文摘Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.
文摘准确预测电容器组在一段时间内的电容,分析其变化趋势,对并联电容器组的安全使用、延长寿命有很重要的意义。本文提出一种基于Microsoft时序算法,采用电能质量监测数据的10 k V侧并联电容器组电容预测模型,并在此基础上设计了并联电容组电容趋势分析及预测预警系统。通过该系统,用户不仅能够监测电容器组的运行状态,为电容器组故障分析提供可靠依据,而且可以预测电容器组电容值的变化趋势,并实现其寿命预警。实际运行效果验证了该模型的可行性与准确性。
文摘简要讨论了通用文字处理软件Microsoft Word 在金相图像二值化处理、网格计点法测量体积分数和金相图片文字标注等方面的应用可能,为定量金相或材料显微组织定量分析技术提供了一种新的、极为容易普及推广的简便操作方法,尤其适用于那些不具备定量金相专用软件而又需要对显微组织进行定量分析的情况。本文建议的方法同样可推广应用于生物医学显微组织图像的处理与定量分析。
文摘The structure and features of Microsoft eBook are delineated.Microsoft eBook follows the Open eBook Publication Structure standard,which is based on XML and provides a simple and lightweight content specification for eBook.As a reading-oriented rather than publication-or-printing-oriented solution,Microsoft eBook supports limited page layouts and implements elementary digital right management functions,while requiring special reading software.
