Install The Google Api Client Libraries For Python Mac

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  1. Install The Google Api Client Libraries For Python Mac Os
  2. Install The Google Api Client Libraries For Python Mac Tutorial
  3. Install The Google Api Client Libraries For Python Mac Tutorial
  4. Install The Google Api Client Libraries For Python Macbook Pro
  5. Install The Google Api Client Libraries For Python Machine

This codelab requires you to use the Python language (although many languages are supported by the Google APIs client libraries, so feel free to build something equivalent in your favorite development tool and simply use the Python as pseudocode). In particular, this codelab supports Python 2 and 3, but we recommend moving to 3.x as soon as possible.

Your place or ours?

Google provides a cloud-based development environment for user convenience, but developers are welcome to using their own local dev environment as well. If setting up your own, follow these guidelinesto bring it in line with what's available from the Cloud Shell (more below). You can find out more about support for Python here.

Mar 03, 2020 Installing the Google Cloud Client library. The Google Cloud Client Library for Python is a client library for accessing Google Cloud Platform services that significantly reduces the boilerplate code you have to write. The library provides high-level API abstractions so they're easier to understand. Mar 03, 2020  Install Client Libraries. The Google Knowledge Graph Search API is built on HTTP and JSON, so any standard HTTP client can send requests to it and parse the responses. However, the Google API client libraries provide better language integration, improved security, and support for making calls that require user authorization. For Google Cloud Platform APIs such as Datastore, Cloud Storage or Pub/Sub, we recommend using Cloud Client Libraries for Python. For Google Ads API, we recommend using Google Ads API Client Library for Python. Install this library in a virtualenv using pip. Virtualenv is a tool to create isolated Python environments.

The Cloud Shell is a convenience available for users directly from the Cloud Console and doesn't require a local development environment, so this tutorial can be done completely in the cloud with a web browser. The Cloud Shell is especially useful if you're developing or plan to continue developing with GCP products & APIs. More specifically for this codelab, the Cloud Shell has already pre-installed both versions of Python.

The Cloud Shell also has IPython installed.. it is a higher-level interactive Python interpreter which we recommend, especially if you are part of the data science or machine learning community. If you are, IPython is the default interpreter for Jupyter Notebooks as well as Colab, Jupyter Notebooks hosted by Google Research.

IPython favors a Python 3 interpreter first but falls back to Python 2 if 3.x isn't available. IPython can be accessed from the Cloud Shell but can also be installed in a local development environment. Exit with ^D (Ctrl-d) and accept the offer to exit. Example output of starting ipython will look like this:

If IPython isn't your preference, use of a standard Python interactive interpreter (either the Cloud Shell or your local development environment) is perfectly acceptable (also exit with ^D):

Terminal window output

Dec 31, 2016  If you have that folder, remove it. I'd suggest then updating your computer to 10.11.6 and install the ensuing security updates to be sure you're getting all the latest bug fixes for El Capitan. The Sierra update may work better once 10.11.6 is on the computer, but it may also just be failing because of the lack of disk space on your computer. Delete mac library updates folder download. Oct 29, 2011  I just ran a disk utility because my hard drive is quite full, and found that I have over 9 GB of files stored in the Updates folder of my root Library. Can I delete these? They have file names like 'zzz061-8420' or just the numbers without the zzz. Jan 12, 2020  Apple hides the Library folder by setting a file system flag associated with the folder. Any folder on your Mac can have its visibility flag turned on or off; Apple just chose to set the Library folder's visibility flag to the off state.

  • The output shown in the terminal/command windows (like those above) represent those on POSIX-compliant systems such as Linux or Mac OS X, including Cloud Shell.
  • Most of the time, the shell prompt ($) is not shown unless it's to differentiate a command vs. its output.
  • Please read this guide if you're using a Windows environment.

Install The Google Api Client Libraries For Python Mac Os

The codelab also assumes you have the pip installation tool (Python package manager and dependency resolver). It comes bundled with versions 2.7.9+ or 3.4+. If you have an older Python version, see this guide for installation instructions. Depending on your permissions you may need to have sudo or superuser access, but generally this isn't the case. You can also explicitly use pip2 or pip3 to execute pip for specific Python versions.

The remainder of the codelab assumes you're using Python 3—specific instructions will be provided for Python 2 if they differ significantly from 3.x.

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Use this quickstart to begin getting image insights from the Bing Visual Search service, using the C# client library. While Bing Visual Search has a REST API compatible with most programming languages, the client library provides an easy way to integrate the service into your applications. The source code for this sample can be found on GitHub.

Reference documentation Library source code Package (NuGet) Samples

Prerequisites

  • Visual Studio 2019.
  • If you are using Linux/MacOS, this application can be run using Mono.
  • The NuGet Visual Search package.
    • From the Solution Explorer in Visual Studio, right-click on your project and select Manage NuGet Packages from the menu. Install the Microsoft.Azure.CognitiveServices.Search.VisualSearch package. Installing the NuGet packages also installs the following:
      • Microsoft.Rest.ClientRuntime
      • Microsoft.Rest.ClientRuntime.Azure
      • Newtonsoft.Json

Create an Azure resource

Start using the Bing Visual Search API by creating one of the Azure resources below.

  • Create a trial resource: How to migrate photos library to new mac.

    • No Azure subscription needed.
    • Valid for seven days, for free. After signing up, a trial key and endpoint will be available on the Azure website.

  • Create a Bing Search v7 resource:

    • Available through the Azure portal until you delete the resource.
    • Select the S9 pricing tier.

  • Create a Multi-Service resource:

    • Available through the Azure portal until you delete the resource.
    • Use the same key and endpoint for your applications, across multiple Cognitive Services.

Create and initialize the application

  1. In Visual Studio, create a new project. Then add the following directives.

  2. Instantiate the client with your subscription key.

Send a search request

  1. Create a FileStream to your images (in this case TestImages/image.jpg). Then use the client to send a search request using client.Images.VisualSearchMethodAsync().

  2. Parse the results of the previous query:

Next steps

Use this quickstart to begin getting image insights from the Bing Visual Search service, using the Java client library. While Bing Visual Search has a REST API compatible with most programming languages, the client library provides an easy way to integrate the service into your applications. The source code for this quickstart can be found on GitHub.

Use the Bing Visual Search client library for Java to:

  • Upload an image to send a visual search request.
  • Get the image insight token and visual search tags.

Reference documentation Library source code Artifact (Maven) Samples

Prerequisites

  • Azure subscription - Create one for free
  • The current version of the Java Development Kit(JDK)
  • The Gradle build tool, or another dependency manager

Create an Azure resource

Start using the Bing Visual Search API by creating one of the Azure resources below.

  • Create a trial resource:

    • No Azure subscription needed.
    • Valid for seven days, for free. After signing up, a trial key and endpoint will be available on the Azure website.

  • Create a Bing Search v7 resource:

    • Available through the Azure portal until you delete the resource.
    • Select the S9 pricing tier.

  • Create a Multi-Service resource:

    • Available through the Azure portal until you delete the resource.
    • Use the same key and endpoint for your applications, across multiple Cognitive Services.

After you get a key from your trial subscription or resource, create an environment variable for the key, named BING_SEARCH_V7_SUBSCRIPTION_KEY.

Create a new Gradle project

In a console window (such as cmd, PowerShell, or Bash), create a new directory for your app, and navigate to it.

Run the gradle init command from your working directory. This command will create essential build files for Gradle, including build.gradle.kts which is used at runtime to create and configure your application.

When prompted to choose a DSL, select Kotlin.

Locate build.gradle.kts and open it with your preferred IDE or text editor. Then copy in this build configuration:

Create a folder for your sample app. From your working directory, run the following command:

Create a folder for the image you want to upload to the API. Place the image inside the resources folder.

Navigate to the new folder and create a file called BingVisualSearchSample.java. Open it in your preferred editor or IDE and add the following import statements:

Then create a new class.

In the application's main method, create variables for your resource's Azure endpoint and key. If you created the environment variable after you launched the application, you will need to close and reopen the editor, IDE, or shell running it to access the variable. Then create a byte[] for the image you'll be uploading. Create a try block for the methods you'll define later, and load the image and convert it to bytes using toByteArray().

Install the client library

Install The Google Api Client Libraries For Python Mac Tutorial

This quickstart uses the Gradle dependency manager. You can find the client library and information for other dependency managers on the Maven Central Repository.

In your project's build.gradle.kts file, be sure to include the client library as an implementation statement.

Install The Google Api Client Libraries For Python Mac Tutorial

Code examples

These code snippets show you how to do the following tasks with the Bing Visual Search client library and Java:

Authenticate the client

Note

This quickstart assumes you've created an environment variable for your Bing Visual Search key, named BING_SEARCH_V7_SUBSCRIPTION_KEY.

In your main method, be sure to use your subscription key to instantiate a BingVisualSearchAPI object.

Send a visual search request

In a new method, send the image byte array (which was created in the main() method) using the client's bingImages().visualSearch() method.

Print the image insight token and visual search tags

Install The Google Api Client Libraries For Python Macbook Pro

Check if the ImageKnowledge object is null. If not, print the image insights token, the number of tags, the number of actions, and the first action type.

Run the application

You can build the app with:

Run the application with the run goal:

Clean up resources

If you want to clean up and remove a Cognitive Services subscription, you can delete the resource or resource group. Deleting the resource group also deletes any other resources associated with it.

Install The Google Api Client Libraries For Python Machine

Next steps

Use this quickstart to begin getting image insights from the Bing Visual Search service, using the JavaScript client library. While Bing Visual Search has a REST API compatible with most programming languages, the client library provides an easy way to integrate the service into your applications. The source code for this sample can be found on GitHub.

Reference documentation Library source code Package (NPM) Samples

Prerequisites

  • The Bing Visual Search client library for JavaScript
    • To set up a console application using the Bing Visual Search client library, run the following commands:
      1. npm install ms-rest-azure
      2. npm install azure-cognitiveservices-visualsearch.

Create an Azure resource

Start using the Bing Visual Search API by creating one of the Azure resources below.

Install the google api client libraries for python mac tutorial

  • Create a trial resource:

    • No Azure subscription needed.
    • Valid for seven days, for free. After signing up, a trial key and endpoint will be available on the Azure website.

  • Create a Bing Search v7 resource:

    • Available through the Azure portal until you delete the resource.
    • Select the S9 pricing tier.

  • Create a Multi-Service resource:

    • Available through the Azure portal until you delete the resource.
    • Use the same key and endpoint for your applications, across multiple Cognitive Services.

Create and initialize the application

  1. Create a new JavaScript file in your favorite IDE or editor, and add the following requirements. Then create variables for your subscription key, Custom Configuration ID, and file path to the image you want to upload.

  2. Instantiate the client.

Search for images

  1. Use fs.createReadStream() to read in your image file, and create variables for your search request and results. Then use the client to search images.

  2. Parse the results of the previous query:

Next steps

Use this quickstart to begin getting image insights from the Bing Visual Search service, using the Python client library. While Bing Visual Search has a REST API compatible with most programming languages, the client library provides an easy way to integrate the service into your applications. The source code for this sample can be found on GitHub

Reference documentation Library source code Package (PyPi) Samples

Prerequisites

  • Python 2.x or 3.x
  • It is recommended to use a virtual environment. Install and initialize the virtual environment with the venv module.
  • The Bing Visual Search client library for Python. You can install it with the following commands:
    1. cd mytestenv
    2. python -m pip install azure-cognitiveservices-search-visualsearch

Create an Azure resource

Start using the Bing Visual Search API by creating one of the Azure resources below.

  • Create a trial resource:

    • No Azure subscription needed.
    • Valid for seven days, for free. After signing up, a trial key and endpoint will be available on the Azure website.

  • Create a Bing Search v7 resource:

    • Available through the Azure portal until you delete the resource.
    • Select the S9 pricing tier.

  • Create a Multi-Service resource:

    • Available through the Azure portal until you delete the resource.
    • Use the same key and endpoint for your applications, across multiple Cognitive Services.

Create and initialize the application

  1. Create a new Python file in your favorite IDE or editor, and add the following import statements.

  2. Create variables for your subscription key, Custom Configuration ID, and the image you want to upload.

  3. Instantiate the client

Send the search request

  1. With the image file open, serialize VisualSearchRequest(), and pass it as the knowledge_request parameter for the visual_search().

  2. If any results were returned, print them, the tags, and the actions in the first tag.

Next steps