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  2. pandas (software) - Wikipedia

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

    [4]: 114 A DataFrame is a 2-dimensional data structure of rows and columns, similar to a spreadsheet, and analogous to a Python dictionary mapping column names (keys) to Series (values), with each Series sharing an index. [4]: 115 DataFrames can be concatenated together or "merged" on columns or indices in a manner similar to joins in SQL.

  3. Merge algorithm - Wikipedia

    en.wikipedia.org/wiki/Merge_algorithm

    In the merge sort algorithm, this subroutine is typically used to merge two sub-arrays A[lo..mid], A[mid+1..hi] of a single array A. This can be done by copying the sub-arrays into a temporary array, then applying the merge algorithm above. [1] The allocation of a temporary array can be avoided, but at the expense of speed and programming ease.

  4. k-way merge algorithm - Wikipedia

    en.wikipedia.org/wiki/K-way_merge_algorithm

    Suppose that such an algorithm existed, then we could construct a comparison-based sorting algorithm with running time O(n f(n)) as follows: Chop the input array into n arrays of size 1. Merge these n arrays with the k-way merge algorithm. The resulting array is sorted and the algorithm has a running time in O(n f(n)).

  5. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words. Word2vec takes as its input a large corpus of text and produces a vector space , typically of several hundred dimensions , with each unique word in the corpus being assigned a corresponding vector in the space.

  6. Block sort - Wikipedia

    en.wikipedia.org/wiki/Block_Sort

    Rather than merging A and B directly as with traditional methods, a block-based merge algorithm divides A into discrete blocks of size √ A (resulting in √ A number of blocks as well), [2] inserts each A block into B such that the first value of each A block is less than or equal (≤) to the B value immediately after it, then locally merges ...

  7. HyperLogLog - Wikipedia

    en.wikipedia.org/wiki/HyperLogLog

    The HyperLogLog has three main operations: add to add a new element to the set, count to obtain the cardinality of the set and merge to obtain the union of two sets. Some derived operations can be computed using the inclusion–exclusion principle like the cardinality of the intersection or the cardinality of the difference between two HyperLogLogs combining the merge and count operations.

  8. How an Army win over Notre Dame could upset the CFP, this ...

    www.aol.com/sports/army-win-over-notre-dame...

    History hangs heavy over this weekend’s massive Army-Notre Dame showdown.Once upon a time, this was the most famous rivalry in the land, a war that bewitched the entire country.

  9. Connected-component labeling - Wikipedia

    en.wikipedia.org/wiki/Connected-component_labeling

    Here, the label value that was the smallest for a given region "floods" throughout the connected region and gives two distinct labels, and hence two distinct labels. 4. Final result in color to clearly see two different regions that have been found in the array. Sample graphical output from running the two-pass algorithm on a binary image.