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JExcel is a library (API) to read, write, display, and modify Excel files with .xls or .xlsx formats. API can be embedded with Java Swing and AWT. [2] [3] [4] JExcel support is discontinued as of May 31, 2020. [5]
Data for these collections can be imported from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. [8] A Series is a 1-dimensional data structure built on top of NumPy's array. [9]: 97 Unlike in NumPy, each data point has an associated label. The collection of these labels is ...
Java Excel API (a.k.a. JXL API) allows users to read, write, create, and modify sheets in an Excel (.xls) workbook at runtime. It doesn't support .xlsx format. It doesn't support .xlsx format. [ 2 ]
A variant of the Xalan processor is included as the default XSLT processor in the standard Java distribution from Oracle. Web browsers: Safari, Chrome, Firefox, Opera and Internet Explorer all support XSLT 1.0 (only). [40] Browsers can perform on-the-fly transformations of XML files and display the transformation output in the browser window.
Java: Multi-model NoSQL database that stores documents (JSON and XML) and semantic graph data (RDF triples); also has a built-in search engine. Microsoft SQL Server 2017: RC1: Proprietary: SQL/T-SQL, R, Python: Offers graph database abilities to model many-to-many relationships.
A Jupyter Notebook document is a JSON file, following a versioned schema, usually ending with the ".ipynb" extension. The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software.
JSON; Google Spreadsheets [15] If input data is in a non-standard text format, it can be imported as whole lines, without splitting into columns, and then columns extracted later with OpenRefine's tools. Archived and compressed files are supported (.zip, .tar.gz, .tgz, .tar.bz2, .gz, or .bz2) and Refine can download input files from a URL. To ...
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.