Alex Hagen
jdc is a Jupyter magic made to solve a very specific problem: that sometimes
you want to define classes dynamically in Jupyter notebooks, and you want it to
look good. On
Jupyter's Github there's a
lengthy discussion and wider view of this issue, but I've implemented a quickfix
which I think ended up looking pretty semantic. Thanks to
Igor Sobreira
for the underlying IPython.
The example below will be most informative, but basically all jdc allows you
to do is to add a cell and define
%%add_to our_class
def our_function(self, our_variable):
print our_variableand that will add the method our_function to our_class, whether
our_class is a class, or an object with a class type.
Right now, installation should now work through PyPI:
pip install jdc
Please open up an issue if it doesn't work, I'll fix it!
@dsblank has pointed this out on the Jupyter discussion:
you can do this in regular Python, without resorting to any extra magic:
Cell 1:
class MyClass(): def method1(self): print("method1") Cell 2:
class MyClass(MyClass): def method2(self): print("method2") Cell 3:
instance = MyClass() instance.method1() instance.method2() That is, you can define a class recursively, cell by cell. I don't think > the final class is any different from one defined all in one cell. So you > don't need an extra package to "solve" this problem.
I personally like the semantics of jdc, so I won't be removing it from PyPI, but it's always good to know alternatives, thanks @dsblank!