Install Numpy In Microsoft Azure On Mac

Numpy / azure-pipelines.yml. # azure config for mac os - Microsoft has indicated. # install matplotlib to avoid pip install of older numpy. Our tools for Python development—or yours. Build and debug your Python apps with Visual Studio Code, and push your apps to the cloud with a few clicks. Then try our cloud-based Azure DevOps and adopt a full DevOps lifecycle for your Python apps. Or bring the tools you’re used to. Provides free online access to Jupyter notebooks running in the cloud on Microsoft Azure. Microsoft Azure Notebooks - Online Jupyter Notebooks This site uses cookies for analytics, personalized content and ads. How to install Python support in Visual Studio on Windows.; 6 minutes to read +4; In this article. To install Python support for Visual Studio (also known as Python Tools for Visual Studio or PTVS), follow the instructions in the section that matches your version of Visual Studio. Choose a Python version through the Azure portal. Create an App Service for your web app on the Azure portal. On the App Service's page, scroll to the Development Tools section, select Extensions, then select + Add. Scroll down in the list to the extension that contains the version of Python you want: Tip.

  1. Install Numpy In Microsoft Azure On Mac Windows 10
  2. Linux Install Numpy
  3. Uninstall Numpy Mac
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Important

Microsoft has deprecated the Python extensions for App Service on Windows as described in this article in favor of a direct deployment to App Service on Linux.

Azure App Service is a platform-as-a-service offering for web apps, whether they are sites accessed through a browser, REST APIs used by your own clients, or event-triggered processing. App Service fully supports using Python to implement apps.

Customizable Python support for Azure App Service is provided as a set of App Service site extensions that each contain a specific version of the Python runtime. You can then install any desired packages directly into that environment, as described in this article. By customizing the environment in the App Service itself, you don't need to maintain packages in your web app projects or upload them with the app code.

Tip

Although App Service by default has Python 2.7 and Python 3.4 installed in root folders on the server, you cannot customize or install packages in these environments, nor should you depend on their presence. You should instead rely on a site extension that you control, as described in this article.

Choose a Python version through the Azure portal

  1. Create an App Service for your web app on the Azure portal.

  2. On the App Service's page, scroll to the Development Tools section, select Extensions, then select + Add.

  3. Scroll down in the list to the extension that contains the version of Python you want:

    Tip

    If you need an older version of Python and don't see it listed in the site extensions, you can still install it through the Azure Resource Manager as described in the next section.

  4. Select the extension, accept the legal terms, then select OK.

  5. A notification appears in the portal when installation is complete.

Choose a Python version through the Azure Resource Manager

If you are deploying an App Service with an Azure Resource Manager template, add the site extension as a resource. Specifically, the extension appears as a nested resource (a resources object under resources) with the type siteextensions and the name from siteextensions.net.

For example, after adding a reference to python361x64 (Python 3.6.1 x64), your template may look like the following (some properties omitted):

Set web.config to point to the Python interpreter

After installing the site extension (through either the portal or an Azure Resource Manager template), you next point your app's web.config file to the Python interpreter. The web.config file instructs the IIS (7+) web server running on App Service about how it should handle Python requests through either HttpPlatform (recommended) or FastCGI.

Begin by finding the full path to the site extension's python.exe, then create and modify the appropriate web.config file.

Find the path to python.exe

A Python site extension is installed on the server under d:home in a folder appropriate to the Python version and architecture (except in the case of a few older versions). For example, Python 3.6.1 x64 is installed in d:homepython361x64. The full path to the Python interpreter is then d:homepython361x64python.exe.

To see the specific path on your App Service, select Extensions on the App Service page, then select the extension in the list.

This action opens the extension's description page containing the path:

If you have trouble seeing the path for the extension, you can find it manually using the console:

  1. On your App Service page, select the Development Tools > Console.
  2. Enter the command ls ./home or dir .home to see the top-level extensions folders, such as Python361x64.
  3. Enter a command like ls ./home/python361x64 or dir .homepython361x64 to verify that it contains python.exe and other interpreter files.

Configure the HttpPlatform handler

Install Numpy In Microsoft Azure On Mac Windows 10

The HttpPlatform module passes socket connections directly to a standalone Python process. This pass-through allows you to run any web server you like, but requires a startup script that runs a local web server. You specify the script in the <httpPlatform> element of web.config, where the processPath attribute points to the site extension's Python interpreter and the arguments attribute points to your script and any arguments you want to provide:

The HTTP_PLATFORM_PORT environment variable shown here contains the port that your local server should listen on for connections from localhost. This example also shows how to create another environment variable, if desired, in this case SERVER_PORT.

Configure the FastCGI handler

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FastCGI is an interface that works at the request level. IIS receives incoming connections and forwards each request to a WSGI app running in one or more persistent Python processes. The wfastcgi package is pre-installed and configured with each Python site extension, so you can easily enable it by including the code in web.config like what's shown below for a web app based on the Bottle framework. Note that the full paths to python.exe and wfastcgi.py are placed in the PythonHandler key:

The <appSettings> defined here are available to your app as environment variables:

  • The value for PYTHONPATH may be freely extended but must include the root of your app.
  • WSGI_HANDLER must point to a WSGI app importable from your app.
  • WSGI_LOG is optional but recommended for debugging your app.

See Publish to Azure for additional details on web.config contents for Bottle, Flask, and Django web apps.

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Install packages

The Python interpreter installed through a site extension is only one piece of your Python environment. You likely need to install different packages in that environment as well.

To install packages directly in the server environment, use one of the following methods:

MethodsUsage
Azure App Service Kudu consoleInstalls packages interactively. Packages must be pure Python or must publish wheels.
Kudu REST APICan be used to automate package installation. Packages must be pure Python or must publish wheels.
Bundle with appInstall packages directly into your project and then deploy them to App Service as if they were part of your app. Depending on how many dependencies you have and how frequently you update them, this method may be the easiest way to get a working deployment going. Be advised that libraries must match the version of Python on the server, otherwise you see obscure errors after deployment. That said, because the versions of Python in the App Service site extensions are exactly the same as those versions released on python.org, you can easily obtain a compatible version for local development.
Virtual environmentsNot supported. Instead, use bundling and set the PYTHONPATH environment variable to point to the location of the packages.

Azure App Service Kudu console

The Kudu console gives you direct, elevated command-line access to the App Service server and its file system. This is both a valuable debugging tool and allows for CLI operations such as installing packages.

  1. Open Kudu from your App Service page on the Azure portal by selecting Development Tools > Advanced Tools, then selecting Go. This action navigates to a URL that's the same as your base App Service URL except with .scm inserted. For example, if your base URL is https://vspython-test.azurewebsites.net/ then Kudu is on https://vspython-test.scm.azurewebsites.net/ (which you can bookmark):

  2. Select Debug console > CMD to open the console, in which you can navigate into your Python installation and see what libraries are already there.

    Download and install or reinstall Office for Mac 2011. Go to Download Earlier Versions of Office at www.microsoft.com/software-download/office to download the file. Enter your product key and click Verify. Select a language, then click Confirm. When prompted, click Download Now. Apr 17, 2017  My latest experience with 14.7.3 update using autoupdate was being offered the update for 2016 instead of 2011. So I found 14.7.3 online with the search term 'Office update 14.7.3.' I downloaded and installed it successfully. Then I tried to update manually and still got the offer of an update. Microsoft office 2011 mac update 14.7.3. In the Microsoft Office 2011 14.7.3 Update volume window, double-click the Office 2011 14.7.3 Update application to start the update process, and then follow the instructions on the screen. If the installation finishes successfully, you can remove the update installer from your hard disk. Microsoft has released an update for Microsoft Office for Mac 2011. In addition to the application improvements mentioned in this article, Office for Mac 2011 is now available as a subscription offering. For more information about subscription, see the Frequently Asked Questions. This update provides the latest fixes to Office for Mac 2011. Aug 27, 2018  So if you want Office 2011 updates, and you are running OSX 10.5-10.9, you NOW need to manually search for the updates at the 'Official Microsoft Download Center'. For instance, here is the direct link to MS Office for Mac 2011 - 14.7.2 Update, released on 6 March 2017.

  3. To install a single package:

    a. Navigate to the folder of the Python installation where you want to install the package, such as d:homepython361x64.

    b. Use python.exe -m pip install <package_name> to install a package.

  4. If you've deployed a requirements.txt for your app to the server already, install all those requirements as follows:

    a. Navigate to the folder of the Python installation where you want to install the package, such as d:homepython361x64.

    b. Run the command python.exe -m pip install --upgrade -r d:homesitewwwrootrequirements.txt.

    Using requirements.txt is recommended because it's easy to reproduce your exact package set both locally and on the server. Just remember to visit the console after deploying any changes to requirements.txt and run the command again.

Note

There's no C compiler on App Service, so you need to install the wheel for any packages with native extension modules. Many popular packages provide their own wheels. For packages that don't, use pip wheel <package_name> on your local development computer and then upload the wheel to your site. For an example, see Manage required packages with requirements.txt.

Kudu REST API

Instead of using the Kudu console through the Azure portal, you can run commands remotely through the Kudu REST API by posting the command to https://yoursite.scm.azurewebsites.net/api/command. For example, to install the bottle package, post the following JSON to /api/command:

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For information about commands and authentication, see the Kudu documentation.

Uninstall Numpy Mac

You can also see credentials using the az webapp deployment list-publishing-profiles command through the Azure CLI (see az webapp deployment). A helper library for posting Kudu commands is available on GitHub.