deppy | Dependency injection framework for Python | Dependency Injection library
kandi X-RAY | deppy Summary
kandi X-RAY | deppy Summary
deppy is a Python library typically used in Programming Style, Dependency Injection, Framework applications. deppy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However deppy build file is not available. You can install using 'pip install deppy' or download it from GitHub, PyPI.
Dependency injection framework for Python.
Dependency injection framework for Python.
Support
Quality
Security
License
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Support
deppy has a low active ecosystem.
It has 6 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
deppy has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of deppy is 0.0.0
Quality
deppy has no bugs reported.
Security
deppy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
deppy is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
deppy releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
deppy has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed deppy and discovered the below as its top functions. This is intended to give you an instant insight into deppy implemented functionality, and help decide if they suit your requirements.
- Registers a target factory
- Return the implicit key for the given tag
- Get the meta for the given target and tag
- Create a container
- Create a scope
Get all kandi verified functions for this library.
deppy Key Features
No Key Features are available at this moment for deppy.
deppy Examples and Code Snippets
Copy
import abc
from enum import Enum
from deppy import container, injectable
class Greeter(abc.ABC):
def greet(self) -> str:
raise NotImplementedError()
class GreeterType(Enum):
A = "A"
B = "B"
@injectable(Greeter, tag
Copy
import abc
from enum import Enum
from deppy from container, injectable
class Greeter(abc.ABC):
def greet(self) -> str:
raise NotImplementedError()
class GreeterType(Enum):
A = "A"
B = "B"
@injectable(Greeter, tag=GreeterTy
Copy
import abc
from deppy import container, injectable
# Should raise NotImplementedError instead of abc.abstractmethod decorator for abstract method due to following mypy issue:
# https://github.com/python/mypy/issues/5374#issuecomment-582093112
class
Copy
the_list = ['Antonia', 'Sara', 'Nick', 'Deppy', 'Antonia', 'Deppy', 'Antonia']
# count unique item in the list 'the_list'
for item in set(the_list):
print(item, ':', the_list.count(item))
# an ordered new list containing unique item
Community Discussions
Trending Discussions on deppy
QUESTION
Python count list's values and put them in ordered list without library
Asked 2020-Jan-14 at 17:43
Let's say I have a list
...ANSWER
Answered 2020-Jan-14 at 17:43There are many ways to achieve your goal. Here is a simple way to do:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install deppy
You can install using 'pip install deppy' or download it from GitHub, PyPI.
You can use deppy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use deppy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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