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Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]
Google supports searching in content of DOCX, XLSX, and PPTX files and also searching for these filetypes. Found files can be viewed directly in a converted HTML view. [70] Apple Spotlight supports indexed searching of Office Open XML files. Copernic Desktop Search for Windows supports indexed searching of Office Open XML files. [71]
Sun Microsystems' ODF Plugin for Microsoft Office users [82] (download link no longer available as of 30 March 2013)— was a plugin that allowed users to read and edit ISO-standard Open Document Format (ODF) files in Microsoft Office. It works with Microsoft Office 2007 (with service pack 1 or higher), Microsoft Office 2003, Microsoft Office ...
Pandas – Python library for data analysis. PAW – FORTRAN/C data analysis framework developed at CERN. R – A programming language and software environment for statistical computing and graphics. [149] ROOT – C++ data analysis framework developed at CERN. SciPy – Python library for scientific computing.
Python data analysis toolkit pandas has the function pivot_table [16] and the xs method useful to obtain sections of pivot tables. [ citation needed ] R has the Tidyverse metapackage, which contains a collection of tools providing pivot table functionality, [ 17 ] [ 18 ] as well as the pivottabler package.
Microsoft Access 2007 introduced new file extensions: .accda – Access add-in file.accdb – Access Database.accde – The file extension for Office Access 2007 files that are in "execute only" mode. ACCDE files have all Visual Basic for Applications (VBA) source code hidden. A user of an ACCDE file can only execute VBA code, but not view or ...
Machine-readable data must be structured data. [1]Attempts to create machine-readable data occurred as early as the 1960s. At the same time that seminal developments in machine-reading and natural-language processing were releasing (like Weizenbaum's ELIZA), people were anticipating the success of machine-readable functionality and attempting to create machine-readable documents.
The CSV file format is one type of delimiter-separated file format. [2] Delimiters frequently used include the comma, tab, space, and semicolon. Delimiter-separated files are often given a ".csv" extension even when the field separator is not a comma. Many applications or libraries that consume or produce CSV files have options to specify an ...