pyfindvs

Python module for locating Visual Studio

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Project links

Homepage

Development Status
- 4 - Beta
Environment
- Win32 (MS Windows)
License
- OSI Approved :: MIT License
Natural Language
- English
Operating System
- Microsoft :: Windows
Programming Language

Project description

pyfindvs

Python client library for locating Visual Studio 2017.

Usage

The basic functions are findall, findwithall and findwithany.

Calling findall will return a (potentially cached) list of currently installed copies of Visual Studio 2017. Each list item is a VisualStudioInstance object with attributes for name, version, version_info (numeric parts of version as a tuple), path and packages (a set of the installed components).

Calling findwithall or findwithany will only return instances of Visual Studio where all/any of the specified package names are installed.

For example:

>>> pyfindvs.findall()
[<VisualStudioInstance at C:\Program Files (x86)\Microsoft Visual Studio\2017\Community>,
 <VisualStudioInstance at C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools>]

>>> pyfindvs.findwithall('Microsoft.VisualStudio.Component.VC.Tools.x86.x64',
                         'Microsoft.VisualStudio.Component.Windows10SDK.10586')
[<VisualStudioInstance at C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools>]

>>> pyfindvs.findwithany('Microsoft.VisualStudio.Component.VC.Tools.x86.x64',
                         'Microsoft.VisualStudio.Component.Windows10SDK.10586')
[<VisualStudioInstance at C:\Program Files (x86)\Microsoft Visual Studio\2017\Community>,
 <VisualStudioInstance at C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools>]

Project details

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 4 - Beta
Environment
- Win32 (MS Windows)
License
- OSI Approved :: MIT License
Natural Language
- English
Operating System
- Microsoft :: Windows
Programming Language

Release history Release notifications | RSS feed

This version

0.6.291

May 2, 2018

0.6.177

Mar 16, 2018

0.6.175

Mar 16, 2018

0.6.150

Feb 13, 2018

0.6.144

Feb 10, 2018

0.5.68

Jul 12, 2017

0.5.67

Jan 30, 2017

0.3.1

Dec 21, 2016

0.3.0

Dec 21, 2016

0.2.0

Dec 5, 2016

0.1.1

Dec 4, 2016

0.1.0

Dec 4, 2016

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