human
I am working on the file "Extended Precision.ipynb".
The first task is:
In the context below, the value of n starts at 10 and then gets two more zeros every time around the loop.  
The yield keyword is similar to return in handing back an object, however a generator function then pauses to pick up where it left off when nudged by next(), (which triggers __next__ internally).
Generator functions do not forget their internal state as they advance through next values.
Note that when a Decimal type object operates with an integer, that integer is coerced (cast) as a Decimal object.
Can you write Python code for it?
 Give me a the Python code you requested?
assistant
#Here is the Python code you requested.

with decimal.localcontext() as ctx:  # context manager
    ctx.prec = 1000
    def converge():  # generator function
        n = decimal.Decimal('10')
        while True:
            yield (1 + 1/n) ** n
            n = n * 100 # two more zeros
    f = converge()
    for _ in range(9):
        next(f) # f.__next__() <--- not quite like Python 2.x (f.next())

r = next(f)
r

str(r)[:20] == e_1000_places[:20]