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  2. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    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]

  3. Help:Download as PDF - Wikipedia

    en.wikipedia.org/wiki/Help:Download_as_PDF

    In the Print/export section select Download as PDF. The rendering engine starts and a dialog appears to show the rendering progress. When rendering is complete, the dialog shows "The document file has been generated. Download the file to your computer." Click the download link to open the PDF in your selected PDF viewer.

  4. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    Default PDF and file viewer for GNOME; replaces GPdf. Supports addition and removal (since v3.14), of basic text note annotations. CUPS: Apache License 2.0: No No No Yes Printing system can render any document to a PDF file, thus any Linux program with print capability can produce PDF files Pdftk: GPLv2: No Yes Yes

  5. File:Pandas logo.svg - Wikipedia

    en.wikipedia.org/wiki/File:Pandas_logo.svg

    This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.

  6. Of Pandas and People - Wikipedia

    en.wikipedia.org/wiki/Of_Pandas_and_People

    Of Pandas and People: The Central Question of Biological Origins is a controversial 1989 (2nd edition 1993) school-level supplementary textbook written by Percival Davis and Dean H. Kenyon, edited by Charles Thaxton and published by the Texas-based Foundation for Thought and Ethics (FTE).

  7. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.