Saravanan666/pypi-org huggingface dataset:
Package: gapic-google-cloud-monitoring-v3
gapic-google-cloud-monitoring-v3 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theStackdriver Monitoring API(v3) defined in thegoogleapisgit repositoryGetting startedgapic-google-cloud-monitoring-v3 will allow you to connect to the
Stackdriver Monitoring API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-cloud-monitoring-v3Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-cloud-monitoring-v3At this point you are all set to continue.
Package: gapic-google-cloud-pubsub-v1
gapic-google-cloud-pubsub-v1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theGoogle Cloud Pub/Sub API(v1) defined in thegoogleapisgit repositoryGetting startedgapic-google-cloud-pubsub-v1 will allow you to connect to the
Google Cloud Pub/Sub API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-cloud-pubsub-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-cloud-pubsub-v1At this point you are all set to continue.
Package: gapic-google-cloud-spanner-admin-database-v1
gapic-google-cloud-spanner-admin-database-v1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theCloud Spanner Database Admin API(v1) defined in thegoogleapisgit repositoryGetting startedgapic-google-cloud-spanner-admin-database-v1 will allow you to connect to the
Cloud Spanner Database Admin API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-cloud-spanner-admin-database-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-cloud-spanner-admin-database-v1At this point you are all set to continue.
Package: gapic-google-cloud-spanner-admin-instance-v1
gapic-google-cloud-spanner-admin-instance-v1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theCloud Spanner Instance Admin API(v1) defined in thegoogleapisgit repositoryGetting startedgapic-google-cloud-spanner-admin-instance-v1 will allow you to connect to the
Cloud Spanner Instance Admin API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-cloud-spanner-admin-instance-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-cloud-spanner-admin-instance-v1At this point you are all set to continue.
Package: gapic-google-cloud-spanner-v1
gapic-google-cloud-spanner-v1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theCloud Spanner API(v1) defined in thegoogleapisgit repositoryGetting startedgapic-google-cloud-spanner-v1 will allow you to connect to the
Cloud Spanner API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-cloud-spanner-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-cloud-spanner-v1At this point you are all set to continue.
Package: gapic-google-cloud-speech-v1
gapic-google-cloud-speech-v1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theGoogle Cloud Speech API(v1) defined in thegoogleapisgit repositoryGetting startedgapic-google-cloud-speech-v1 will allow you to connect to the
Google Cloud Speech API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-cloud-speech-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-cloud-speech-v1At this point you are all set to continue.
Package: gapic-google-cloud-speech-v1beta1
gapic-google-cloud-speech-v1beta1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theGoogle Cloud Speech API(v1beta1) defined in thegoogleapisgit repositoryGetting startedgapic-google-cloud-speech-v1beta1 will allow you to connect to the
Google Cloud Speech API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-cloud-speech-v1beta1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-cloud-speech-v1beta1At this point you are all set to continue.
Package: gapic-google-cloud-vision-v1
gapic-google-cloud-vision-v1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theGoogle Cloud Vision API(v1) defined in thegoogleapisgit repositoryGetting startedgapic-google-cloud-vision-v1 will allow you to connect to the
Google Cloud Vision API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-cloud-vision-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-cloud-vision-v1At this point you are all set to continue.
Package: gapic-google-iam-admin-v1
gapic-google-iam-admin-v1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theGoogle IAM Admin API(v1) defined in thegoogleapisgit repositoryGetting startedgapic-google-iam-admin-v1 will allow you to connect to the Google
Admin API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-iam-admin-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-iam-admin-v1At this point you are all set to continue.
Package: gapic-google-logging-v2
gapic-google-logging-v2 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theStackdriver Logging API(v2) defined in thegoogleapisgit repositoryGetting startedgapic-google-logging-v2 will allow you to connect to the Google
Logging API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-logging-v2Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-logging-v2At this point you are all set to continue.
Package: gapic-google-longrunning
gapic-google-longrunning usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theGoogle Google API(longrunning) defined in thegoogleapisgit repositoryGetting startedgapic-google-longrunning will allow you to connect to the Google
Google API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-longrunningWindowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-longrunningAt this point you are all set to continue.
Package: gapic-google-maps-streetview-publish-v1
Street View Publish API: The Street View Publish API allows your application to publish 360 photos to
Google Maps, along with image metadata that specifies the position,
orientation, and connectivity of each photo. With this API, any app can
offer an interface for positioning, connecting, and uploading user-generated
Street View images.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform projectEnable billing for your projectEnable the Street View Publish APISetup AuthenticationInstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-maps-streetview_publish-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-maps-streetview_publish-v1PreviewStreetViewPublishServiceClientfromgoogle.streetviewimportpublish_v1client=publish_v1.StreetViewPublishServiceClient()# TODO: Initialize `photo`:photo={}response=client.create_photo(photo)Next StepsRead theClient Library Documentationfor Street View Publish API
API to see other available methods on the client.Read theStreet View Publish API Product documentationto learn
more about the product and see How-to Guides.View thisrepository’s main READMEto see the full list of Cloud
APIs that we cover.
Package: gapic-google-monitoring-v3
gapic-google-monitoring-v3 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theStackdriver Monitoring API(v3) defined in thegoogleapisgit repositoryGetting startedgapic-google-monitoring-v3 will allow you to connect to the Google
Monitoring API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-monitoring-v3Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-monitoring-v3At this point you are all set to continue.
Package: gapic-google-pubsub-v1
gapic-google-pubsub-v1 usesgoogle-gax(Google API extensions) to provide an
easy-to-use client library for theGoogle Pubsub API(v1) defined in thegoogleapisgit repositoryGetting startedgapic-google-pubsub-v1 will allow you to connect to the Google
Pubsub API and access all its methods. In order to do this, you need
to set up authentication as well as install the library locally.Setup AuthenticationTo authenticate all your API calls, first install and setup theGoogle Cloud SDK.
Once done, you can then run the following command in your terminal:$gcloudbetaauthapplication-defaultloginor$gcloudauthloginPlease seegcloud beta auth application-default logindocument for the difference between these commands.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install gapic-google-pubsub-v1Windowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install gapic-google-pubsub-v1At this point you are all set to continue.
Package: gapi-helper
gapi-helperHelpers around Google APIs:Google Drive APIGoogle Mail APIGoogle Sheets APIAlso provides new classes forsimpletasks-data:DumpTaskto dump aFlask-SQLAlchemymodel into a Google SheetTransferTaskto write arbitrary data to a Google SheetTransferCsvTaskto write CSV data to a Google SheetTransferSheetTaskto write a Google Sheet to another Google SheetImportSheetto use a Google Sheet as source forImportTaskContributingTo initialize the environment:poetryinstall--no-rootTo run tests (including linting and code formatting checks), please run:poetryrunpytest--mypy--flake8&&poetryrunblack--check.TipsHow to generate requests mocks:Put breakpoints in.venv/lib/python3.6/site-packages/googleapiclient/http.py:211(end of_retry_requestmethod)Create a script that will do the actionsEnsure the debugger is configured to debug external code ("justMyCode": falsein VSCode)Debug that scriptSave all results to_retry_request(status andanonymizedcontent) to files indatafolder (if not already existing)
Package: gapkmean
this script is using the gap statistics to run k-means algorithm for many times to
find the best K value for the dataset.because k-mean really depends on the initial points and thus the results can be different given different initial points;
therefore use sklearn packages to run many times with different initial ponits, and this can be one parameter for the gap statistics.this module should be imported into other python scripts and combined with sklearn to find the best K value.parameters:refs: np.array or None, it is the replicated data that you want to compare with if there exists one;
if no existing replicated/proper data, just use None, and the function will automatically generates them;B: int, the number of replicated samples to run gap-statistics; it is recommended as 10, and it should not be changed/decreased that to a smaller value;K: list, the range of K values to test on;N_init: int, states the number of initial starting points for each K-mean running under sklearn, in order to get stable clustering result each time;
you may not need such many starting points, so it can be reduced to a smaller number to quicken the computation;n_jobs: int, clarifies the parallel computing, could fasten the computation, this can be only changed inside the script, not as an argument of the function;# to installpip install gapkmean# to use as a module in pythonfrom gapkmean import gap# to find the best K value of K-mean algorithm#notedatashould be an numpy.array
gaps, s_k, K = gap.gap_statistic(data, refs=None, B=10, K=range(1,11), N_init = 10)
bestKValue = gap.find_optimal_k(gaps, s_k, K)
Package: gapminder
gapminderThis is a Python version of Jennifer Bryan's excellentgapminderteaching package for R.Installationpip install gapminderUsageThis package contains only one object, a Pandas DataFrame namedgapminder.fromgapminderimportgapmindergapminder.head()country continent  year  lifeExp       pop   gdpPercap
0  Afghanistan      Asia  1952   28.801   8425333  779.445314
1  Afghanistan      Asia  1957   30.332   9240934  820.853030
2  Afghanistan      Asia  1962   31.997  10267083  853.100710
3  Afghanistan      Asia  1967   34.020  11537966  836.197138
4  Afghanistan      Asia  1972   36.088  13079460  739.981106Use it. Abuse it. It's a great dataset for teaching, which is why I'm re-hosting
it as a Python package.