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  2. Method chaining - Wikipedia

    en.wikipedia.org/wiki/Method_chaining

    Note that in JavaScript filter and map return a new shallow copy of the preceding array but sort operates in place. To get a similar behavior, toSorted may be used. But in this particular case, sort operates on the new array returned from filter and therefore does not change the original array.

  3. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API. In Spark 1.x, the RDD was the primary application programming interface (API), but as of Spark 2.x use of the Dataset API is encouraged [3] even though the RDD API is not deprecated. [4] [5] The RDD technology still underlies the Dataset API. [6] [7]

  4. static_cast - Wikipedia

    en.wikipedia.org/wiki/Static_cast

    The type parameter must be a data type to which object can be converted via a known method, whether it be a builtin or a cast. The type can be a reference or an enumerator. All types of conversions that are well-defined and allowed by the compiler are performed using static_cas

  5. Jaro–Winkler distance - Wikipedia

    en.wikipedia.org/wiki/Jaro–Winkler_distance

    The standard value for this constant in Winkler's work is = The Jaro–Winkler distance d w {\displaystyle d_{w}} is defined as d w = 1 − s i m w {\displaystyle d_{w}=1-sim_{w}} . Although often referred to as a distance metric , the Jaro–Winkler distance is not a metric in the mathematical sense of that term because it does not obey the ...

  6. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    For example, word2vec has been used to map a vector space of words in one language to a vector space constructed from another language. Relationships between translated words in both spaces can be used to assist with machine translation of new words.

  7. 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.