Python Fabric Support

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Python 3 support for fabric - Stack Overflow

    https://stackoverflow.com/questions/18736274/python-3-support-for-fabric
    It seems that there is Python3 port of Fabric named Fabric3 which supports Python 2.7 and 3.4+ (dropped support for Python <2.7). I use it some time as a replacement and it works for me without any issues. pip3 install fabric3

Fabric documentation - Welcome to Fabric! — Fabric ...

    https://www.fabfile.org/
    In addition to these library-oriented use cases, Fabric makes it easy to integrate with Invoke’s command-line task functionality, invoking via a fab binary stub: Python functions, methods or entire objects can be used as CLI-addressable tasks, e.g. fab deploy;

Installing (1.x) — Fabric documentation

    http://www.fabfile.org/installing-1.x.html
    Early versions of Python 2.6 (in our testing, 2.6.0 through 2.6.2) ship with a buggy multiprocessing module that appears to cause Fabric to hang at the end of sessions involving large numbers of concurrent hosts. If you encounter this problem, either use env.pool_size / -z to limit the amount of concurrency, or upgrade to Python >=2.6.3.

Getting Python Fabric setup in Windows

    https://thepracticalsysadmin.com/getting-python-fabric-setup-in-windows/
    May 30, 2013 · This has really turned into a wild goose chase. Initially my goal when I set out on this project was simply to get Fabric up and running so I could test out some different features on some network gear. It seems like the Python integration in Windows is very different than it is in the Linux world where everything is all bundled up nice and neatly.

Python 3 support · Issue #1424 · fabric/fabric · GitHub

    https://github.com/fabric/fabric/issues/1424
    Jan 28, 2016 · Python 3 support #1424. Closed Grazfather opened this issue Jan 28, 2016 · 4 comments Closed Python 3 ... Fabric management refuses to make 1.x compatible with Python 3 while simultaneously keeping Fabric 2.x (which claims Python 3.x compatibility) private.

Python 3.3 support · Issue #1050 · fabric/fabric · GitHub

    https://github.com/fabric/fabric/issues/1050
    Jan 02, 2014 · in big support of getting the python 3 branch merged in! ... @bitprophet and other core maintainers here: is the current fabric 2 development happening off Github? If so, is it possible it could be moved here under a development branch? There are many folks, such as myself, for whom this is the only remaining python 2 package in our ...

Welcome to Fabric’s documentation! — Fabric documentation

    http://docs.fabfile.org/
    Welcome to Fabric’s documentation!¶ This site covers Fabric’s usage & API documentation. For basic info on what Fabric is, including its public changelog & how the project is maintained, please see the main project website.

Fabric Support

    http://fabric.support/
    Support. [email protected]. Get Support Now; General Enquiries. [email protected]. Thank you. Your message has been sent, we'll be in touch as soon as we can. > Get in touch. What is your name? What is your email address? Yes please, I’d like to hear about offers and services from Fabric IT.

Create an Azure Service Fabric container application ...

    https://docs.microsoft.com/en-us/azure/service-fabric/service-fabric-get-started-containers
    Running an existing application in a Windows container on a Service Fabric cluster doesn't require any changes to your application. This article walks you through creating a Docker image containing a Python Flask web application and deploying it to a Service Fabric cluster running on your local machine. You will also share your containerized application through Azure Container Registry.

Python on Azure Microsoft Azure

    https://azure.microsoft.com/en-us/develop/python/
    AI and machine learning. Build, train, and deploy your models with Azure Machine Learning using the Python SDK, or tap into pre-built intelligent APIs for vision, speech, language, knowledge, and search, with a few lines of code. Data scientists working with Python can use familiar tools. Get started quickly with a fully managed Jupyter notebook using Azure Notebooks, or run your experiments ...



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