PythonChecker | A maintainable Python code checker for Sublime Text | Code Editor library

by patrys Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PythonChecker Summary

PythonChecker is a Python library typically used in Editor, Code Editor applications. PythonChecker has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However PythonChecker build file is not available. You can download it from GitHub.

A maintainable Python code checker for Sublime Text 3. Once the plugin is installed, it will highlight common problems in your Python code. Internally it relies on the wonderful pyflakes and pep8 packages.

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Quality

Security

License

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Support

PythonChecker has a low active ecosystem.

It has 28 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 7 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PythonChecker is current.

Quality

PythonChecker has 0 bugs and 0 code smells.

Security

PythonChecker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PythonChecker code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PythonChecker 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

PythonChecker releases are not available. You will need to build from source code and install.

PythonChecker has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

PythonChecker saves you 1792 person hours of effort in developing the same functionality from scratch.

It has 3961 lines of code, 441 functions and 20 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed PythonChecker and discovered the below as its top functions. This is intended to give you an instant insight into PythonChecker implemented functionality, and help decide if they suit your requirements.

Indent a continuation line .
Check for missing whitespace around operator .
LAMBDA AST .
Return the option parser .
Read the configuration file .
Check if code string is syntactically valid .
Process options .
r Parse compound statements .
r Check for blank lines before a function .
r Avoid whitespace around keyword .

Get all kandi verified functions for this library.

PythonChecker Key Features

No Key Features are available at this moment for PythonChecker.

PythonChecker Examples and Code Snippets

No Code Snippets are available at this moment for PythonChecker.

Community Discussions

Trending Discussions on PythonChecker

TDengine windows python connector run examples

QUESTION

TDengine windows python connector run examples

Asked 2022-Jan-05 at 07:43

I'm a freshman from python, and I want to use TDengine's python connector to connect with the TDengine cluster. I followed the instruction from the website taos connector of to install prepare the dev-environment. The follow process are the steps that I did:

install python version Python 3.7.9
copy the file "C:\TDengine\driver\taos.dll" to the "C:\ windows\ system32"
tried to run the follow command in cmd

...

ANSWER

Answered 2022-Jan-05 at 07:43

Python3.4+ has a builtin ensurepip module to install pip:

Source https://stackoverflow.com/questions/69111997

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PythonChecker

You can download it from GitHub.
You can use PythonChecker 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: