Create an iterator which evaluates the factorial function for each iterated value.
Calculate the standard deviation of a strided array using a one-pass textbook algorithm.
Effective number of bits in the significand of a double-precision floating-point number.
Test whether a path exists on the filesystem.
Determine if an array data type can be safely cast to another array data type.
Return the enumeration constant associated with a BLAS transpose operation.
Compute minimum and maximum absolute values incrementally.
Constructor for creating arrays filled with pseudorandom values drawn from a ternary PRNG.
Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Agentic SDK for LeadMagic.
Compute the L2-norm of a complex single-precision floating-point vector.
Chi distribution constructor.
Compute the cumulative sum of a one-dimensional ndarray using an improved Kahan–Babuška algorithm.
Incremental statistics.
Return package names related to a specified package name.
Fill a strided array with pseudorandom numbers drawn from a normal distribution.
Round a numeric value to the nearest number toward positive infinity with N significant figures.
Agentic SDK for Clearbit.
Calculate the mean and standard deviation of a double-precision floating-point strided array.
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Discrete uniform distribution entropy.
Compute the range of absolute values of a single-precision floating-point strided array.
Calculate the minimum value of a strided array, ignoring NaN values.
Compute the L2-norm of a complex double-precision floating-point vector.