python-samples | Python samples for G Suite products | Learning library

 by   gsuitedevs Python Version: Current License: Apache-2.0

kandi X-RAY | python-samples Summary

kandi X-RAY | python-samples Summary

python-samples is a Python library typically used in Tutorial, Learning applications. python-samples has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However python-samples build file is not available. You can download it from GitHub.

Python samples for G Suite API docs.
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              python-samples has a low active ecosystem.
              It has 505 star(s) with 445 fork(s). There are 51 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 36 open issues and 82 have been closed. On average issues are closed in 32 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-samples is current.

            kandi-Quality Quality

              python-samples has 0 bugs and 0 code smells.

            kandi-Security Security

              python-samples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-samples code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-samples is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              python-samples releases are not available. You will need to build from source code and install.
              python-samples has no build file. You will be need to create the build yourself to build the component from source.
              It has 6956 lines of code, 336 functions and 174 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            python-samples Key Features

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            python-samples Examples and Code Snippets

            Generate a stateless random variates .
            pythondot img1Lines of Code : 96dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def stateless_random_gamma(shape,
                                       seed,
                                       alpha,
                                       beta=None,
                                       dtype=dtypes.float32,
                                       name=None):
              """Outputs determinis  
            Generate a random gamma distribution .
            pythondot img2Lines of Code : 89dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def random_gamma(shape,
                             alpha,
                             beta=None,
                             dtype=dtypes.float32,
                             seed=None,
                             name=None):
              """Draws `shape` samples from each of the given Gamma distribution(s).
            
              `a  
            Generate a random Poisson distribution .
            pythondot img3Lines of Code : 59dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def stateless_random_poisson(shape,
                                         seed,
                                         lam,
                                         dtype=dtypes.int32,
                                         name=None):
              """Outputs deterministic pseudorandom values from a P  

            Community Discussions

            QUESTION

            Differences between using Sagemaker notebook vs Glue (Sagemaker) notebook
            Asked 2021-Sep-14 at 21:46

            I have a Machine Learning job I want to run with Sagemaker. For data preparation and transformation, I am using some numpy and pandas steps to transform them with notebook.

            I noticed AWS Glue have both Sagemaker and Zeppelin notebook which can be created via development endpoint

            There isn't much info online i could find what's the difference and benefit of using one over another (i.e. Sagemaker notebook and import from s3 vs creating notebook from Glue)

            From what i researched and tried it seems that i can achieve same thing with both:

            • Sagemaker notebook and import directly from s3 + further python code to process the data
            • Glue (need to crawl and create dataset) as shown here, create dev endpoint and use similar script to process the data.

            Anyone able to shed light on this?

            ...

            ANSWER

            Answered 2021-Sep-13 at 08:24

            If you are using only numpy and pandas, functions-wise it doesn't make a real difference. But it depends on your data as well, if you want to work with data sitting in a Glue table it would be easier to work with Zeppelin notebooks via an endpoint.

            Costwise I am pretty sure that Sagemaker is less expensive.

            Source https://stackoverflow.com/questions/69158205

            QUESTION

            Google sheets Python quickstart, configure OAuth, can't select "Internal"
            Asked 2021-Aug-23 at 07:35

            I am a brand new Google Developer (but not new to programming or Python). I am trying to learn a bit about Google Sheets (Python API).

            I found the following Quickstart document: https://developers.google.com/sheets/api/quickstart/python?authuser=3

            I have Python locally installed (Python 3.7.3). I created a Google developer account, created a project, found the Google Sheets API in the API Library and enabled it for my project.

            I'm am trying to complete the fourth bullet point under "Prerequisites" of that Quickstart document:

            • Authorization credentials for a desktop application. To learn how to create credentials for a desktop application, refer to Create credentials.

            where 'Create credentials' is a link to this document: https://developers.google.com/workspace/guides/create-credentials?authuser=3

            I am stuck on the 6th step there:

            To configure the OAuth consent screen:

            1. Open the Google Cloud Console.
            2. Next to Google Cloud Platform, click the Down arrow arrow_drop_down and select a project.
            3. At the top-left corner, click Menu menu.
            4. Click APIs & Services > Credentials. The credential page for your project appears.
            5. Click Configure Consent Screen. The "OAuth consent screen" screen appears.
            6. Click the user type for your app. If you're running a Quickstart, select Internal. Note: For company-internal apps, scopes aren't listed on the consent screen and use of restricted or sensitive scopes does not require further review by Google. ...

            Indeed, I am running a "Quickstart". However, I CANNOT select 'Internal', the option is disabled to me. Hovering over the option displays the pop-up text: "Because you are not a Google Workspace User, you can only only make your application available to external (general audience) users."

            I don't know... did I miss something here? Something I need to do in order to become a "Google Workspace User", maybe? That doesn't seem to be listed as a prerequisite.

            I tried to Google "How to enable Google Workspace User", that seems to lead to pages that imply I have to purchase Google Domains.

            At this point, I'm just trying to run the basic script in the Quickstart. The code pukes saying file not found for "credentials.json" - that's what led me to find this article: https://github.com/googleworkspace/python-samples/issues/134 that clued me in that I had missed this step to "create credentials for a desktop application".

            I would love to start writing Python scripts that can read/write Google Sheets. I'm stuck on how to get this OAuth consent screen configured.

            I tried to continue down the path by Selecting external users, but when trying to add myself as a test user, it complained that I could not add ineligible users. Again, I'm confused - as the project creator and owner, seems like I should be an eligible user to test the app? Something is not right here.

            Any help would be greatly appreciated!

            Thanks! ;)

            ...

            ANSWER

            Answered 2021-Aug-23 at 07:35
            You can't select an "Internal" project unless you have a Workspace account

            The idea with these types of projects is that they are available for members of your organization/domain. This has the effect of not requiring you to pass the necessary OAuth screen verification that any apps available to the general public have to go through. That is, if you want your app to be public, it has to be reviewed by a 3rd party to ensure that the code is not a security or privacy hazard. This is done at the expense of the developer.

            So you'll have to set it to "External" - just make sure you add yourself and any accounts that will be using it as "testing" users so that you have access.

            Why you are getting the credentials.json error.

            Have you downloaded the credentials json file?

            You will need to download it, rename it to credentials.json and then add it to your project folder so that Python can see it.

            Note, this issue is not due to the OAuth consent screen. To get to that stage, to know if you have configured it correctly, the script needs the data within the credentials.json to be able to request a authentication to Google's servers. When this request is made, it should give you a link to the OAuth consent screen which will then ask you for the appropriate permissions.

            References

            Source https://stackoverflow.com/questions/68870515

            QUESTION

            How to create Wiki Subpages in Azure Devops thru Python?
            Asked 2021-Apr-13 at 10:12

            My Azure devops page will look like :

            I have 4 pandas dataframes. I need to create 4 sub pages in Azure devops wiki from each dataframe. Say, Sub1 from first dataframe, Sub2 from second dataframe and so on.

            My result should be in tab. The result should look like :

            Is it possible to create subpages thru API? I have referenced the following docs. But I am unable to make any sense. Any inputs will be helpful. Thanks.

            https://github.com/microsoft/azure-devops-python-samples/blob/main/API%20Samples.ipynb https://docs.microsoft.com/en-us/rest/api/azure/devops/wiki/pages/create%20or%20update?view=azure-devops-rest-6.0

            ...

            ANSWER

            Answered 2021-Apr-13 at 06:45

            To create a wiki subpage, you should use Pages - Create Or Update api, and specify the path to pagename/subpagename. Regarding how to use the api in Python, you could use Azure DevOps Python API and refer to the sample below:

            Source https://stackoverflow.com/questions/67055004

            QUESTION

            What is wrong with the Google groups api discovery URL?
            Asked 2021-Mar-09 at 14:07

            I'm attempting to use a Python script to manage Google groups. The script is basically the following quickstart.py script provided by Google only modified to work on groups rather than docs. (See here.)

            When attempting this:

            ...

            ANSWER

            Answered 2021-Mar-09 at 14:07

            I was looking in the wrong direction. More searching based on another error turned up the fact that I should be using the admin URL:

            Source https://stackoverflow.com/questions/66548005

            QUESTION

            QueueTrigger Bindings for Sendgrid -Python
            Asked 2020-Nov-19 at 06:48

            Guided by this post I have written the following queuetrigger code intended to send emails when a message is queued.

            ...

            ANSWER

            Answered 2020-Nov-19 at 06:48

            Azure Function banned the port of send email, so we must use sendgrid to send email.(This is a third part tools but it was been integrated into azure functions binding, so we can directly use it.)

            For example, if you want to send email from email A to email B.

            First, go to the sendgrid website, create a sender and verify the email A:

            After that, email A is ready to send emails by sendgrid.

            Now we need to generate a SendGrid API key and copy and store the API key:(This will be filled in the Values section of local.settings.json as an environment variable to read.)

            Then, you can use it to send emails:

            host.json

            Source https://stackoverflow.com/questions/64905758

            QUESTION

            People API google - Add contact from python script
            Asked 2020-Aug-30 at 18:04

            I just need to create a contact (name and phone number) to my own google account from console (python script, not UI).

            Can I do that?

            I am following this guide: https://github.com/gsuitedevs/python-samples/tree/master/people/quickstart

            The problem is that a new chrome window open to redirect somewhere.. I pretend to use this in a server with no UI.

            ...

            ANSWER

            Answered 2020-Aug-30 at 18:04

            Yes, you can!

            I used this code: https://gist.github.com/samkit5495/ff8e2a6644363cadaec3fa22ddf38c90

            First of all, you have to create an OAuth 2.0 key: https://console.developers.google.com/apis

            Important: URI redirect, I was getting an error 400 "localhost:8080/"... You have to put the exact same url with "/" at the end...

            Download the key and put it in the same dir as the script in a file called client_secret.json

            Execute the script and then a browser will open, then put your google account and that's it!

            Source https://stackoverflow.com/questions/63656212

            QUESTION

            How to use Azure DevOps / VSTS to fetch query results in python
            Asked 2020-Jul-17 at 22:11

            Below is my current code. It connects successfully to the organization. How can I fetch the results of a query in Azure like they have here? I know this was solved but there isn't an explanation and there's quite a big gap on what they're doing.

            ...

            ANSWER

            Answered 2020-Jul-17 at 22:11

            So I've figured this out in probably the most inefficient way possible, but hope it helps someone else and they find a way to improve it.

            The issue with the WorkItemQueryResult class stored in variable "result" is that it doesn't allow the contents of the work item to be shown.

            So the goal is to be able to use the get_work_item method that requires the id field, which you can get (in a rather roundabout way) through item.target.id from results' work_item_relations. The code below is added on.

            Source https://stackoverflow.com/questions/62958293

            QUESTION

            Retrieving linked Work Items from Azure Devops, using WIQL
            Asked 2020-Jun-29 at 15:15

            I have been looking into retrieving Work Items from Azure Devops with the azure-devops python package, and have managed to pull down work items with help from the sample code provided at:

            https://github.com/microsoft/azure-devops-python-samples/blob/main/src/samples/work_item_tracking.py

            However, I am trying to refine the process to grab a specific work item along with any linked 'related work' items. For instance, grabbing the parent, as well as "Test Feature"

            How would I go about doing this?

            Edit:

            I've gotten closer to building this feature, however my query keeps returning every work item rather than just the linked items. My Goal is to retrieve all child items from the root work item of the tree.

            ...

            ANSWER

            Answered 2020-Jun-29 at 15:15

            I found the solution to my problem, removing 'ReturnMatchingChildren' from MODE got rid of the extra returns. This solution assumes an item id of 3.

            Source https://stackoverflow.com/questions/62537655

            QUESTION

            VSTS PBI creation via Azure DevOps Python API
            Asked 2020-Mar-04 at 15:52

            Creating a program that will automatically create PBIs in AzureDevOps for my organization. I cant quite figure out how to make a script reference the APIs AzureDevOps have created. I'm simply wanting to have the program take my token and create a work item in vsts and assign it to myself with a customized title. I have installed azure CLI and have downloaded the azure-devops-python-samples files, but theres not a good way for me to reference a way to create_work_item. I guess I need a tutorial on how to take the github files and simply have another program reference this way of making a PBI. I'm fairly new to all of this, so someone that can explain how to do this would be really helpful!

            TLDR: Point A - Have a title and user_assignment saved as variables in another file Point B - Reference these variables and make a PBI for my org.

            I figure it would be helpful to have my code in this question:

            ...

            ANSWER

            Answered 2020-Mar-04 at 15:52

            You can use both python api client library and Restful api to create a work items. Please check below examples:

            1, Use python api client library. Please check create_work_item method for more information.

            Source https://stackoverflow.com/questions/60514128

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            Install python-samples

            You can download it from GitHub.
            You can use python-samples like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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