Changes updated
Solve indent
Character Removed
Revert "Character Removed"

This reverts commit 91ec585557204cb7e89c410c98276efee6f24256.
Reverted
Change
Changes done
Done
Further assert removals
Indent
All changes done
plot functions now pass on kwargs when constructing series.
make nargs of functions with args an int

nargs, defined in classes like sin and cos are integers, reflecting
the fact that they take only one argument; in the case of log, the
class defines nargs as a tuple since log can take 1 or 2 arguments.
For consistency, at instanciation all nargs are converted to a tuple
of acceptable values. If any number of arguments are acceptable, then
the empty tuple is used.

    f(x).nargs == sin(x).nargs == log(x).nargs == 1

To set the number of args for user-defined function or WildFunction,
use keyword `nargs`, setting it to the desired value (or list of
acceptable values).
Changes done
Further changes
add explicit nargs to exp and exp_polar

Why didn't these inherit from ExpBase??
Change
Improvements to IPython printing: strings, floats, and ints.

Removed strings from LaTeX printing in IPython as this was causing dictionaries
that contained strings and other valid LaTeX printable types to render. This is
typically not desirable especially if you have a dictionary with only strings,
floats, and integers.

I also added an option `print_builtin` to `init_printing` that allows you to
disable the float and integer LaTeX printing. For example, if you don't want a
dictionary of integer keys and float values to render in LaTeX.

Fixes issue #2672.
Additional notes in doc string about line wrapping.
Added `to_matrix` method to Vector and Dyadic in mechanics.

When jumping back and forth from symbolics to numerics when using the mechanics
module it would be nice to be able to output the matrix forms of vectors and
dyadics with respect to different reference frames. I've added two new methods
that provide this functionality. It is particularly useful for returning
inertia tensors in reference frames from dyadics as the tensor form in the more
widely used.