`gqylpy-dict` is based on the built-in `dict` and serves as an enhancement to it. It can do everything the built-in `dict` can do, and even more.
Project description
gqylpy-dict
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gqylpy-dict
is based on the built-indict
and serves as an enhancement to it. It can do everything the built-indict
can do, and even more. (Designed specifically for the neurologically diverse)
pip3 install gqylpy_dict
>>> from gqylpy_dict import gdict
>>> gdict == dict
True
>>> gdict is dict
False
>>> x = {'a': [{'b': 'B'}]}
>>> x = gdict(x)
>>> x.a[0].b
'B'
>>> x.deepget('a[0].b')
'B'
Let's delve deeper into the functionalities and usages of the gdict
class.
Firstly, the gdict
class is a custom dictionary class that inherits from Python's built-in dict
class. A special feature of gdict
is its support for accessing and modifying key-value pairs in the dictionary using dot notation (.
). This means we can access dictionary values as if they were object attributes. For instance, given a dictionary {'name': 'Tom', 'age': 25}
, we can define a gdict
object as follows:
my_dict = gdict({'name': 'Tom', 'age': 25})
Using dot notation, we can access the dictionary values:
my_dict.name # 'Tom'
my_dict.age # 25
We can even modify the dictionary values:
my_dict.name = 'Jerry'
At this point, the value associated with the 'name'
key in the dictionary has been changed to 'Jerry'
.
Additionally, gdict
supports multi-level nested data structures, meaning the keys and values stored in a gdict
object can also be dictionaries. For example:
my_dict = gdict({
'personal_info': {'name': 'Tom', 'age': 25},
'work_info': {'company': 'ABC Inc.', 'position': 'Engineer'}
})
We can access and modify values in nested dictionaries:
my_dict.personal_info.name # 'Tom'
my_dict.work_info.position = 'Manager'
Aside from dot notation, we can also access and modify values in a gdict
object using traditional dictionary access methods:
my_dict['personal_info']['name'] # 'Tom'
my_dict['work_info']['position'] = 'Manager'
Lastly, the gdict
class supports various input formats during instantiation:
my_dict = gdict({'name': 'Tom', 'age': 25})
my_dict = gdict(name='Tom', age=25)
my_dict = gdict([('name', 'Tom'), ('age', 25)])
In summary, the design and implementation of the gdict
class provide a convenient and extensible data structure that allows for more flexible manipulation of Python dictionary objects.
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