deep_collections | Python library that provides tooling
kandi X-RAY | deep_collections Summary
kandi X-RAY | deep_collections Summary
deep_collections is a Python library. deep_collections has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install deep_collections' or download it from GitHub, PyPI.
deep_collections is a Python library that provides tooling for easy access to deep collections (dicts, lists, deques, etc), while maintaining a great portion of the collection's original API. The class DeepCollection class will automatically subclass the original collection that is provided, and add several quality of life extensions to make using deep collections much more enjoyable. Got a bundle of JSON from an API? A large Python object from some data science problem? Some very lengthy set of instructions from some infrastructure as code like Ansible or SaltStack? Explore and modify it with ease. DeepCollection can take virtually any kind of object including all built-in container types (dict, list, set, and tuple), everything in the collections module, and dotty-dicts, and all of these nested in any fashion.
deep_collections is a Python library that provides tooling for easy access to deep collections (dicts, lists, deques, etc), while maintaining a great portion of the collection's original API. The class DeepCollection class will automatically subclass the original collection that is provided, and add several quality of life extensions to make using deep collections much more enjoyable. Got a bundle of JSON from an API? A large Python object from some data science problem? Some very lengthy set of instructions from some infrastructure as code like Ansible or SaltStack? Explore and modify it with ease. DeepCollection can take virtually any kind of object including all built-in container types (dict, list, set, and tuple), everything in the collections module, and dotty-dicts, and all of these nested in any fashion.
Support
Quality
Security
License
Reuse
Support
deep_collections has a low active ecosystem.
It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 1 have been closed. On average issues are closed in 71 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of deep_collections is v0.4.2
Quality
deep_collections has no bugs reported.
Security
deep_collections has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
deep_collections is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
deep_collections releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of deep_collections
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of deep_collections
deep_collections Key Features
No Key Features are available at this moment for deep_collections.
deep_collections Examples and Code Snippets
No Code Snippets are available at this moment for deep_collections.
Community Discussions
No Community Discussions are available at this moment for deep_collections.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install deep_collections
You can install using 'pip install deep_collections' or download it from GitHub, PyPI.
You can use deep_collections 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 deep_collections 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:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page