mvn_ml | Python MySQL connector , MySQL
kandi X-RAY | mvn_ml Summary
kandi X-RAY | mvn_ml Summary
mvn_ml is a Python library. mvn_ml has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Before installing the Python MySQL connector, MySQL must be installed locally (otherwise I got pip errors):.
Before installing the Python MySQL connector, MySQL must be installed locally (otherwise I got pip errors):.
Support
Quality
Security
License
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Support
mvn_ml has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
mvn_ml has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of mvn_ml is current.
Quality
mvn_ml has no bugs reported.
Security
mvn_ml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mvn_ml 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.
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mvn_ml releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mvn_ml
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mvn_ml
mvn_ml Key Features
No Key Features are available at this moment for mvn_ml.
mvn_ml Examples and Code Snippets
No Code Snippets are available at this moment for mvn_ml.
Community Discussions
No Community Discussions are available at this moment for mvn_ml.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mvn_ml
You can download it from GitHub.
You can use mvn_ml 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 mvn_ml 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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