We should be careful not to establish different rules for literal values and variables with string values. Doing so would mean that the value that's passed in to a function implementation would need to distinguish between the two, and therefore could not use e.g. a primitive string value, ...
Note: You can extend these rules to multi-dimensional arrays, but that’s beyond the scope of this tutorial. Feel free to dive into this topic on your own!The parameter axis works the same way with other NumPy functions and methods:Python >>> np.median(a, axis=0) array([4., 3.,...
Specify the percentage that each funding source is responsible for. Specify which funding source is responsible for rounding differences that are caused by funding allocation calculations. Set up rules that determine how project costs are invoiced to external customers and charged to...
Note: You can extend these rules to multi-dimensional arrays, but that’s beyond the scope of this tutorial. Feel free to dive into this topic on your own!The parameter axis works the same way with other NumPy functions and methods:Python >>> np.median(a, axis=0) array([4., 3.,...