Python
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  1. Convert an array of datetimes into an array of strings with UTC timezone in Python

  2. Compute the Natural logarithm for complex-valued input in Python

  3. Return the base 2 logarithm of the input array in Python

  4. Determine common type following standard coercion rules in Python

  5. Return the base 2 logarithm for complex value input in Python

  6. Convert an array of datetimes into an array of strings with pytz timezone object in Python

  7. Return True if cast between array scalar and data type can occur according to the casting rule in Python

  8. Return a scalar type which is common to the input arrays in Python

  9. Get the Machine limits information for integer types in Python

  10. Get the Machine limits information for int with instances in Python

  11. Get the Machine limits information for float types in Python

  12. Compute the Hyperbolic tangent in Python

  13. Compute the Hyperbolic tangent of the array elements in Python

  14. Get the number of bits in the exponent portion of the floating point representation in Python

  15. Get the approximate number of decimal digits to which this kind of float is precise in Python

  16. Find the minimal data type of an array-like in Python

  17. Return the type that results from applying the NumPy type promotion rules to the arguments in Python

  18. Return the cumulative sum of array elements over given axis 0 treating NaNs as zero in Python

  19. Return the cumulative sum of array elements over given axis 1 treating NaNs as zero in Python

  20. Determine whether the given object represents a scalar data-type in Python

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