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What Python function is used to create a new column in a Pandas DataFrame based on the values of existing columns?
Consider product of three matrices M1, M2 and M3 having w rows and x columns, x rows and y columns, and y rows and z columns. Under what condition will it take less time to compute the product as (M1M2)M3 than to compute M1 (M2M3)?
In Pandas, what method is used to remove duplicate rows from a DataFrame based on specified columns?
What Python function is used to read a CSV (Comma-Separated Values) file into a Pandas DataFrame?
In Pandas, what method is used to calculate the mean, median, and other summary statistics for numerical columns in a DataFrame?
In Pandas, what method is used to calculate summary statistics for numerical columns in a DataFrame?
In Pandas, which method is used to sort a DataFrame by the values in one or more columns in ascending or descending order?
In Pandas, which method is used to calculate the covariance between two numerical columns in a DataFrame?
In Pandas, which method is used to apply a custom function to each element of a DataFrame or Series?
A word is represented by only a set of numbers as given in any one of the alternatives. The sets of numbers given in the alternatives are represented by two classes of alphabets as shown in the given two matrices. The columns and rows of Matrix-I are numbered alternatively and represented by two classes of alphabets as shown in the given two matrices. The columns and rows of Matrix-I are numbered from 0 to 4 and that of Matrix-II are numbered from 5 to 9. A letter from these matrices can be represented first by its row and next by its column, for example, ‘C’ can be represented by 42, 56 etc and ‘P’ can be represented by 03, 65 etc. Similarly, you have to identify the set for the word ‘THRONE’.  Matrix I    Matrix II   0 1 2 3 4   5 6 7 8 9 0 H D U P F 5 J C N R G 1 O S K X I 6 P V T X L 2 R E W A Z 7 E Y W A O 3 B T Q Y N 8 K H Q U I 4 J L C V G 9 B S F M D