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  2. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).

  3. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    However, in Microsoft Excel, subroutines can write values or text found within the subroutine directly to the spreadsheet. The figure shows the Visual Basic code for a subroutine that reads each member of the named column variable x , calculates its square, and writes this value into the corresponding element of named column variable y .

  4. Microsoft Office - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Office

    Microsoft Excel is a spreadsheet editor that originally competed with the dominant Lotus 1-2-3 and eventually outsold it. Microsoft released the first version of Excel for the Mac OS in 1985 and the first Windows version (numbered 2.05 to line up with the Mac) in November 1987.

  5. Byju's - Wikipedia

    en.wikipedia.org/wiki/Byju's

    Byju's is an education tutoring app that runs on a freemium model, [30] with free access to content limited for 15 days after the registration. [30] [31] It was launched in August 2015, [32] offering educational content for students from classes 4 to 12. [33]

  6. Optical mark recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_mark_recognition

    An optical answer sheet or bubble sheet is a special type of form used in multiple choice question examinations. OMR is used to detect answers. The Scantron Corporation creates many optical answer sheets, although certain uses require their own customized system. [citation needed] Optical answer sheets usually have a set of blank ovals or boxes ...

  7. Beta function - Wikipedia

    en.wikipedia.org/wiki/Beta_function

    In Microsoft Excel, for example, the complete beta function can be computed with the GammaLn function (or special.gammaln in Python's SciPy package): Value = Exp(GammaLn(a) + GammaLn(b) − GammaLn(a + b)) This result follows from the properties listed above.