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  2. pandas (software) - Wikipedia

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

    For example, df.groupby(lambda i: i % 2) groups data by whether the index is even. [4]: 253–259 Pandas includes support for time series, such as the ability to interpolate values [4]: 316–317 and filter using a range of timestamps (e.g. data['1/1/2023':'2/2/2023'] will return all dates between January 1st and February 2nd).

  3. Aggregate function - Wikipedia

    en.wikipedia.org/wiki/Aggregate_function

    Average (i.e., arithmetic mean) Count; Maximum; Median; Minimum; Mode; Range; Sum; Others include: Nanmean (mean ignoring NaN values, also known as "nil" or "null") Stddev; Formally, an aggregate function takes as input a set, a multiset (bag), or a list from some input domain I and outputs an element of an output domain O. [1]

  4. Group by (SQL) - Wikipedia

    en.wikipedia.org/wiki/Group_by_(SQL)

    A GROUP BY statement in SQL specifies that a SQL SELECT statement partitions result rows into groups, based on their values in one or several columns. Typically, grouping is used to apply some sort of aggregate function for each group. [1] [2] The result of a query using a GROUP BY statement contains one row for each group.

  5. Memorials, tributes and donations pour in for New Orleans ...

    www.aol.com/orleans-attack-among-15-dead...

    Among the 14 people killed in the New Orleans attack: a warehouse manager, an account executive, an aspiring nurse and two loving parents.

  6. Angelina Jolie Is 'Exhausted' but 'Relieved' Her Divorce from ...

    www.aol.com/angelina-jolie-exhausted-relieved...

    Angelina Jolie is looking forward to putting her divorce from Brad Pitt behind her.. Now that Jolie, 49, and Pitt, 61, have hashed out the terms of their split eight years after they initially ...

  7. ESPN's Kirk Herbstreit: Indiana 'was not a team that should ...

    www.aol.com/sports/espns-kirk-herbstreit-indiana...

    Indiana went 11-1 in the regular season. The Hoosiers’ only regular-season loss was a 28-15 defeat at No. 8 Ohio State. Yes, it’s fair to say Indiana played a schedule that didn’t include ...

  8. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    Feature standardization makes the values of each feature in the data have zero-mean (when subtracting the mean in the numerator) and unit-variance. This method is widely used for normalization in many machine learning algorithms (e.g., support vector machines , logistic regression , and artificial neural networks ).

  9. NaN - Wikipedia

    en.wikipedia.org/wiki/NaN

    IEEE 754 NaNs are encoded with the exponent field filled with ones (like infinity values), and some non-zero number in the significand field (to make them distinct from infinity values); this allows the definition of multiple distinct NaN values, depending on which bits are set in the significand field, but also on the value of the leading sign ...