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
This paper introduces the design and implementation of an interactive tool, the EASTViewer, for the visualization of plasma equilibrium reconstruction results for EAST （the Experimental Advanced Superconducting Toka...This paper introduces the design and implementation of an interactive tool, the EASTViewer, for the visualization of plasma equilibrium reconstruction results for EAST （the Experimental Advanced Superconducting Tokamak）. Aimed at the operating system indepen- dently, Python, when combined with the PyGTK toolkit, is used as the programming language. Using modular design, the EASTViewer provides a unified interface with great flexibility. It is easy to access numerous data sources either from local data files or an MDSplus tree, and with the pre-defined configuration files, it can be extended to other tokamaks. The EASTViewer has been used as the major tool to visualize equilibrium data since the second EAST campaign in 2008, and it has been verified that the EASTViewer features a user-friendly interface, and has easy access to numerous data sources and cross-platforms.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.
基金supported by National Natural Science Foundation of China(No.10835009)the National Magnetic Confinement Fusion Research Program of China(No.2012GB105000)the National Science Foundation for Young Scientists of China(No.11205191)
文摘This paper introduces the design and implementation of an interactive tool, the EASTViewer, for the visualization of plasma equilibrium reconstruction results for EAST （the Experimental Advanced Superconducting Tokamak）. Aimed at the operating system indepen- dently, Python, when combined with the PyGTK toolkit, is used as the programming language. Using modular design, the EASTViewer provides a unified interface with great flexibility. It is easy to access numerous data sources either from local data files or an MDSplus tree, and with the pre-defined configuration files, it can be extended to other tokamaks. The EASTViewer has been used as the major tool to visualize equilibrium data since the second EAST campaign in 2008, and it has been verified that the EASTViewer features a user-friendly interface, and has easy access to numerous data sources and cross-platforms.
