Py-example-by-xchaoinfo | 小而美 提高生活幸福感的Python脚本 , By xchaoinfo
kandi X-RAY | Py-example-by-xchaoinfo Summary
kandi X-RAY | Py-example-by-xchaoinfo Summary
Py-example-by-xchaoinfo is a Python library. Py-example-by-xchaoinfo has no bugs, it has no vulnerabilities and it has low support. However Py-example-by-xchaoinfo build file is not available. You can download it from GitHub.
Py-example-by-xchaoinfo
Py-example-by-xchaoinfo
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Quality
Security
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Support
Py-example-by-xchaoinfo has a low active ecosystem.
It has 58 star(s) with 32 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 16 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Py-example-by-xchaoinfo is current.
Quality
Py-example-by-xchaoinfo has 0 bugs and 25 code smells.
Security
Py-example-by-xchaoinfo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Py-example-by-xchaoinfo code analysis shows 0 unresolved vulnerabilities.
There are 1 security hotspots that need review.
License
Py-example-by-xchaoinfo does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Py-example-by-xchaoinfo releases are not available. You will need to build from source code and install.
Py-example-by-xchaoinfo has no build file. You will be need to create the build yourself to build the component from source.
Py-example-by-xchaoinfo saves you 148 person hours of effort in developing the same functionality from scratch.
It has 369 lines of code, 35 functions and 13 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Py-example-by-xchaoinfo and discovered the below as its top functions. This is intended to give you an instant insight into Py-example-by-xchaoinfo implemented functionality, and help decide if they suit your requirements.
- Start worker threads
- Get a list of all files in a folder
- Recursively create directories
- Connect to mysql
- Get configuration
- Return a list of all installed extensions
- Return a list of module names
- Get documentation from python files
- Read a file
- Check the id number
- Convert xlsx to csv
- Encrypt a list of files
- Split a PDF into multiple pages
- Decrypt an Excel file
- Recursively walk XML tree
- Read a csv file
- Convert a video to an image
- Write a csv file
- Delete the worksheet
- Read a CSV file
- Write data to csv
- Reads data from file
Get all kandi verified functions for this library.
Py-example-by-xchaoinfo Key Features
No Key Features are available at this moment for Py-example-by-xchaoinfo.
Py-example-by-xchaoinfo Examples and Code Snippets
No Code Snippets are available at this moment for Py-example-by-xchaoinfo.
Community Discussions
No Community Discussions are available at this moment for Py-example-by-xchaoinfo.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Py-example-by-xchaoinfo
You can download it from GitHub.
You can use Py-example-by-xchaoinfo 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 Py-example-by-xchaoinfo 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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