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  2. pandas (software) - Wikipedia

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

    Subsets of data can be selected by column name, index, or Boolean expressions. For example, df[df['col1'] > 5] will return all rows in the DataFrame df for which the value of the column col1 exceeds 5. [4]: 126–128 Data can be grouped together by a column value, as in df['col1'].groupby(df['col2']), or by a function which is applied to the index.

  3. Wide and narrow data - Wikipedia

    en.wikipedia.org/wiki/Wide_and_narrow_data

    The pandas package in Python implements this operation as "melt" function which converts a wide table to a narrow one. The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations.

  4. Row- and column-major order - Wikipedia

    en.wikipedia.org/wiki/Row-_and_column-major_order

    More generally, there are d! possible orders for a given array, one for each permutation of dimensions (with row-major and column-order just 2 special cases), although the lists of stride values are not necessarily permutations of each other, e.g., in the 2-by-3 example above, the strides are (3,1) for row-major and (1,2) for column-major.

  5. Table (database) - Wikipedia

    en.wikipedia.org/wiki/Table_(database)

    In a database, a table is a collection of related data organized in table format; consisting of columns and rows.. In relational databases, and flat file databases, a table is a set of data elements (values) using a model of vertical columns (identifiable by name) and horizontal rows, the cell being the unit where a row and column intersect. [1]

  6. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    The data rows may be spread throughout the table regardless of the value of the indexed column or expression. The non-clustered index tree contains the index keys in sorted order, with the leaf level of the index containing the pointer to the record (page and the row number in the data page in page-organized engines; row offset in file ...

  7. Lawrence R. Ricciardi - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/lawrence-r-ricciardi

    The Lawrence R. Ricciardi Stock Index From January 2009 to December 2012, if you bought shares in companies when Lawrence R. Ricciardi joined the board, and sold them when he left, you would have a -44.6 percent return on your investment, compared to a 53.1 percent return from the S&P 500.

  8. List of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical-analysis...

    Shogun, an open-source large-scale machine-learning toolbox that provides several SVM implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R Waffles is a free-software collection of command-line tools designed for scripting machine-learning operations in automated experiments and processes.

  9. Rodney E. Slater - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/rodney-e-slater

    The Rodney E. Slater Stock Index From October 2008 to December 2012, if you bought shares in companies when Rodney E. Slater joined the board, and sold them when he left, you would have a 86.1 percent return on your investment, compared to a 53.3 percent return from the S&P 500.