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Lazier workflow for Jupyter

Project description

lazier

lazier allows you to move faster when you are exploring how functions change with their input, this module was written because I often felt that there had to be an easier way to work in a interactive enviroment with jupyter notebooks.

Here is a demonstration: Without lazier:

def foo(a,b,c,d):
    print(a)
    print(b)
    print(c)
    print(d)
foo(a=1,b= 2, c=3, d=4)
1
2
3
4
foo(d=2)
---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

<ipython-input-3-9233fe4ac2c5> in <module>()
----> 1 foo(d=2)


TypeError: foo() missing 3 required positional arguments: 'a', 'b', and 'c'

with lazier:

from lazier import lazier
@lazier
def foo(a,b,c,d):
    print(a)
    print(b)
    print(c)
    print(d)
foo(a=1,b= 2, c=3, d=4)
1
2
3
4

Now suppose you want to see how the output of the function changed if d was 7 in the above function call, with lazier it looks like:

foo(d=7)
1
2
3
7

and so on.

foo(a=9)
9
2
3
7

using reset you can forget all past values that it remebers

foo.reset()
foo()
foo() missing 4 required positional arguments: 'a', 'b', 'c', and 'd'
foo(a=1, b=11, c=3)
foo() missing 1 required positional argument: 'd'
foo(d=9)
1
11
3
9

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