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  2. pandas (software) - Wikipedia

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

    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. Dask (software) - Wikipedia

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

    A Dask DataFrame comprises many smaller Pandas DataFrames partitioned along the index. It maintains the familiar Pandas API, making it easy for Pandas users to scale up DataFrame workloads. During a DataFrame operation, Dask creates a task graph and triggers operations on the constituent DataFrames in a manner that reduces memory footprint and ...

  4. Group by (SQL) - Wikipedia

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

    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. This implies constraints on the columns that can appear in the associated SELECT clause. As a general rule, the SELECT clause may only contain columns with a unique value ...

  5. Function composition (computer science) - Wikipedia

    en.wikipedia.org/wiki/Function_composition...

    In computer science, function composition is an act or mechanism to combine simple functions to build more complicated ones. Like the usual composition of functions in mathematics , the result of each function is passed as the argument of the next, and the result of the last one is the result of the whole.

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Tesla Has Highest Fatal Accident Rate of All Auto Brands: Study

    www.aol.com/tesla-highest-fatal-accident-rate...

    Tesla's vehicles have the highest fatal accident rate among all car brands in America, according to a recent iSeeCars study that analyzed data from the U.S. Fatality Analysis Reporting System ...

  8. This Is Martha Stewart’s Favorite Butter for Baking - AOL

    www.aol.com/martha-stewart-favorite-butter...

    For example, if I purchased eight ounces of unsalted Plugrà butter from Whole Foods in Brooklyn, New York, it would cost $4.79. In comparison, the same amount of another premium butter, ...

  9. Comparison of programming languages (string functions)

    en.wikipedia.org/wiki/Comparison_of_programming...

    String functions common to many languages are listed below, including the different names used. The below list of common functions aims to help programmers find the equivalent function in a language. Note, string concatenation and regular expressions are handled in separate pages. Statements in guillemets (« … ») are optional.