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  2. Wikipedia:Tools/Editing tools - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Tools/Editing_tools

    Converting the formatted text to wikicode; Wikicode syntax highlighting; Regular expression search and replace and find-as-you-type; Server-independent Show preview and Show changes; Fullscreen editing mode; Single-click fixing of common mistakes; History for summary, search, and replace fields; Search/replace box that supports regular expressions.

  3. Origin (data analysis software) - Wikipedia

    en.wikipedia.org/wiki/Origin_(data_analysis...

    Origin imports data files in various formats such as ASCII text, Excel, NI TDM, DIADem, NetCDF, SPC, etc. It also exports the graph to various image file formats such as JPEG, GIF, EPS, TIFF, etc. There is also a built-in query tool for accessing database data via ADO.

  4. Find and replace - Wikipedia

    en.wikipedia.org/wiki/Find_and_replace

    Download as PDF; Printable version; ... move to sidebar hide. Find and replace may refer to: a feature of text processing ... String searching algorithms ; replace ...

  5. Python Imaging Library - Wikipedia

    en.wikipedia.org/wiki/Python_Imaging_Library

    Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]

  6. Lookup table - Wikipedia

    en.wikipedia.org/wiki/Lookup_table

    An n-bit LUT can encode any n-input Boolean function by storing the truth table of the function in the LUT. This is an efficient way of encoding Boolean logic functions, and LUTs with 4-6 bits of input are in fact the key component of modern field-programmable gate arrays (FPGAs) which provide reconfigurable hardware logic capabilities.

  7. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]

  8. Help:Table - Wikipedia

    en.wikipedia.org/wiki/Help:Table

    tabulate, Python module for converting data structures to wiki table markup; wikitables, Python module for reading wiki table markup; H63: Using the scope attribute to associate header cells and data cells in data tables | Techniques for WCAG 2.0. Tables | Usability & Web Accessibility. Yale University. Tables with Multi-Level Headers.

  9. String interpolation - Wikipedia

    en.wikipedia.org/wiki/String_interpolation

    Replace and expand placeholders: creating a new string from the original one, by findreplace operations. Find variable reference (placeholder), replace it by its variable value. This algorithm offers no cache strategy. Split and join string: splitting the string into an array, merging it with the corresponding array of values, then joining ...