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Pandas Dataframe Methods
Pandas DataFrames are the cornerstone of data manipulation, offering an extensive suite of methods for effective data analysis. It deals with methods like merge() to merge datasets, groupby() to group data for analysis and pivot() to pivot tables for better insights.
NumPy trace()
returns the sum of the diagonals of the matrix
NumPy det()
compute the determinant of the given matrix
NumPy matmul()
performs matrix multiplication in NumPy
NumPy matrix()
creates a matrix from a 2-D array-like object
NumPy norm()
computes various matrix norms
NumPy fromstring()
fromstring() creates 1D array from raw binary/text
NumPy histogram()
histogram() computes the histogram of the dataset