datascience-vm-scripts | creating VMs suitable for UCB CS194 datascience course
kandi X-RAY | datascience-vm-scripts Summary
kandi X-RAY | datascience-vm-scripts Summary
datascience-vm-scripts is a Shell library. datascience-vm-scripts has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Scripts for creating VMs suitable for UCB CS194 datascience course. These scripts require a Ubuntu-like system with a slightly bugfixed version of python-vm-builder, which you can get by applying vmbuilder.diff to a bzr checkout of lp:vmbuilder. [Hopefully these changes will be merged into trunk soon.]. Configuration is run using a file called make-vm-config.sh. An example is in make-vm-config.sh.example. The primary script is make-vm.sh; if run it should create virtualbox VMs in datascience-vm-amd64 and datascience-vm-i386. This script has some configuration in it which should be split out into a separate file. The result will be a directory containing an opaquely named VDI image for VirtualBox and a script to load that VM (locally) into virtualbox. The created VMs are essentially stock Ubuntu 14.04 VMs with post-build-script.sh to install extra software. The created VMs should have a user with sudo rights called 'datascience' with password 'datascience'. The VM will be configured to automatically login to that account botting into the graphical environment.
Scripts for creating VMs suitable for UCB CS194 datascience course. These scripts require a Ubuntu-like system with a slightly bugfixed version of python-vm-builder, which you can get by applying vmbuilder.diff to a bzr checkout of lp:vmbuilder. [Hopefully these changes will be merged into trunk soon.]. Configuration is run using a file called make-vm-config.sh. An example is in make-vm-config.sh.example. The primary script is make-vm.sh; if run it should create virtualbox VMs in datascience-vm-amd64 and datascience-vm-i386. This script has some configuration in it which should be split out into a separate file. The result will be a directory containing an opaquely named VDI image for VirtualBox and a script to load that VM (locally) into virtualbox. The created VMs are essentially stock Ubuntu 14.04 VMs with post-build-script.sh to install extra software. The created VMs should have a user with sudo rights called 'datascience' with password 'datascience'. The VM will be configured to automatically login to that account botting into the graphical environment.
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Support
datascience-vm-scripts has a low active ecosystem.
It has 3 star(s) with 5 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of datascience-vm-scripts is current.
Quality
datascience-vm-scripts has no bugs reported.
Security
datascience-vm-scripts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
datascience-vm-scripts 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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datascience-vm-scripts releases are not available. You will need to build from source code and install.
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datascience-vm-scripts Key Features
No Key Features are available at this moment for datascience-vm-scripts.
datascience-vm-scripts Examples and Code Snippets
No Code Snippets are available at this moment for datascience-vm-scripts.
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install datascience-vm-scripts
You can download it from GitHub.
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