flake8-simplicity | Lint your Python
kandi X-RAY | flake8-simplicity Summary
kandi X-RAY | flake8-simplicity Summary
flake8-simplicity is a Python library. flake8-simplicity 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 flake8-simplicity' or download it from GitHub, PyPI.
Do you ever miss the days when your coworker couldn't convert 10 straightforward lines of Python into a mess of decorators and multiline dictionary comprehensions?. Would you like it if no-one could make annoying comments on your PR about how you could make it 'nicer' by using with, walrus operators, and yield?. Could you pass on deciding to rewrite your entire application to use async?. Think that maybe there are 27 ways to do it in today's Python, and that that's pretty damn annoying?.
Do you ever miss the days when your coworker couldn't convert 10 straightforward lines of Python into a mess of decorators and multiline dictionary comprehensions?. Would you like it if no-one could make annoying comments on your PR about how you could make it 'nicer' by using with, walrus operators, and yield?. Could you pass on deciding to rewrite your entire application to use async?. Think that maybe there are 27 ways to do it in today's Python, and that that's pretty damn annoying?.
Support
Quality
Security
License
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Support
flake8-simplicity has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
flake8-simplicity has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of flake8-simplicity is 0.0.1
Quality
flake8-simplicity has no bugs reported.
Security
flake8-simplicity has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
flake8-simplicity 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
flake8-simplicity 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 has reviewed flake8-simplicity and discovered the below as its top functions. This is intended to give you an instant insight into flake8-simplicity implemented functionality, and help decide if they suit your requirements.
- Check for errors .
- Get the version number of the flake8 .
- Get long description from README . md .
- Return an error node .
Get all kandi verified functions for this library.
flake8-simplicity Key Features
No Key Features are available at this moment for flake8-simplicity.
flake8-simplicity Examples and Code Snippets
No Code Snippets are available at this moment for flake8-simplicity.
Community Discussions
No Community Discussions are available at this moment for flake8-simplicity.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install flake8-simplicity
You can install using 'pip install flake8-simplicity' or download it from GitHub, PyPI.
You can use flake8-simplicity 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 flake8-simplicity 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 .
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