docker-optimizer | optimizer image provides a base Docker image
kandi X-RAY | docker-optimizer Summary
kandi X-RAY | docker-optimizer Summary
docker-optimizer is a Python library. docker-optimizer has no bugs, it has no vulnerabilities and it has low support. However docker-optimizer build file is not available. You can download it from GitHub.
The Gurobi Optimizer is the fastest and most powerful mathematical programming solver available for your LP, QP and MIP (MILP, MIQP, and MIQCP) problems. More info at the Gurobi Website. The Gurobi Optimizer supports of a wide range of programming and modeling languages, see the reference manual. The gurobi/optimizer image provides a base Docker image for building applications using any of the supported APIs (C, C++, Java, .NET, Python, MATLAB, and R), as well as the command line tools such as gurobi_cl and the Python shell. If you are planning to only use the Python API, we recommend using the gurobi/python image instead.
The Gurobi Optimizer is the fastest and most powerful mathematical programming solver available for your LP, QP and MIP (MILP, MIQP, and MIQCP) problems. More info at the Gurobi Website. The Gurobi Optimizer supports of a wide range of programming and modeling languages, see the reference manual. The gurobi/optimizer image provides a base Docker image for building applications using any of the supported APIs (C, C++, Java, .NET, Python, MATLAB, and R), as well as the command line tools such as gurobi_cl and the Python shell. If you are planning to only use the Python API, we recommend using the gurobi/python image instead.
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Support
docker-optimizer has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
docker-optimizer has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of docker-optimizer is current.
Quality
docker-optimizer has 0 bugs and 0 code smells.
Security
docker-optimizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
docker-optimizer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
docker-optimizer 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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docker-optimizer releases are not available. You will need to build from source code and install.
docker-optimizer has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of docker-optimizer
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of docker-optimizer
docker-optimizer Key Features
No Key Features are available at this moment for docker-optimizer.
docker-optimizer Examples and Code Snippets
No Code Snippets are available at this moment for docker-optimizer.
Community Discussions
No Community Discussions are available at this moment for docker-optimizer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install docker-optimizer
You can download it from GitHub.
You can use docker-optimizer 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 docker-optimizer 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.
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When building a production application, we recommend using an explicit version number instead of the latest tag. This way, you are in control of the upgrade process of your application.
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