professional-services
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product. (by GoogleCloudPlatform)
python-docs-samples
Code samples used on cloud.google.com (by GoogleCloudPlatform)
| professional-services | python-docs-samples | |
|---|---|---|
| 8 | 17 | |
| 2,729 | 6,985 | |
| 0.9% | 0.8% | |
| 9.1 | 9.8 | |
| 7 days ago | 2 days ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
professional-services
Posts with mentions or reviews of professional-services.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-29.
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What necessary principles need to be added to PubSub when connect it from Cloud Run?
I just did this for Pubsub2Inbox (added Cloud Run support), you can see Terraform example here.
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Is there a repository of GCP script examples?
The Google Cloud Profession Services has published a bunch of scripts and tools. They also publish Cloud Foundations Toolkit which is a set of reference terraform and deployment manager templates for common cloud infrastructure.
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My GCP feature requests for 2022
Hey, for the last topic, you can always use my Pubsub2Inbox tool (now with MS Graph support): https://github.com/GoogleCloudPlatform/professional-services/tree/main/tools/pubsub2inbox
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Cloud Run pause in the middle of entrypoint
I'm fairly new to Cloud Run and containers, but did a bit of Cloud function. I'm trying to use this repo to gather data from our Cloud Storage to make a Data Studio page that runs from Cloud run. Link here.
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Best way to trigger an archive function
Are you downloading the file from a bucket and reuploading it to another? You can just copy it as a metadata operation. See an example here: https://github.com/GoogleCloudPlatform/professional-services/pull/663
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GCP terraform
Terraform examples for GCP from Google’s professional services team: https://github.com/GoogleCloudPlatform/professional-services
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Pubsub2Inbox: swiss army knife Cloud Function for Pub/Sub messages
gcs2bq for creating GCS dashboards: https://github.com/GoogleCloudPlatform/professional-services/tree/main/tools/gcs2bq
python-docs-samples
Posts with mentions or reviews of python-docs-samples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-24.
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Gemini API 102: Next steps beyond "Hello World!"
QuickStart code
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Moving my app to Google cloud
Thanks, this is helpful. Do you have any github repo that I can follow? I have found this and this. There are a million folders within both of them. Even after narrowing it down after your kind suggestion there is still so much material out there and it's a bit bewildering for a newbie.
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I'm starting to work on a project on HTR on natural museum artefacts. I need guidance on how to go about it, and I'd also need to know If my ideas are feasible.
Python code samples : https://github.com/GoogleCloudPlatform/python-docs-samples/blob/HEAD/vision/snippets/detect/detect.py
- Cloud Functions + Pub/Sub + Dataproc
- Does not have the required permissions to perform the operation and may have invalid credentials
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free app projects I can deploy on GCP
Python
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GCP Project Ideas
Google has a lot of sample projects that you can play around with/start with. For example, this is a link to sample Apps based on Python from Google. They also have similar links for other languages - PHP, NodeJS.
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Is there a repository of GCP script examples?
For example, here is their repo with Python examples https://github.com/GoogleCloudPlatform/python-docs-samples
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Which Should I Choose: App Engine or Firebase?
- I would say that building a basic web app in Python is not complicated. Worst case, you can start off with the template of an already working App and then make changes as you deem fit. Google has sample apps. If those are too complicated, our App has templates for `````'Hello World' that can get you up and running. We also have a blog series on building a blogging app on GAE
- QUESTION: HTTP Triggered Google Cloud Functions?
What are some alternatives?
When comparing professional-services and python-docs-samples you can also consider the following projects:
Competitive-Programming
nodejs-docs-samples - Node.js samples for Google Cloud Platform products.
DataflowTemplates - Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
python-firestore
workflows-samples - This repository contains samples for Cloud Workflows.
java-docs-samples - Java and Kotlin Code samples used on cloud.google.com
bigquery-schema-generator - Generates the BigQuery schema from newline-delimited JSON or CSV data records.
documentation - A general GCP documentation, FAQ, and how-to repository, maintained by the /r/googlecloud community on Reddit.
example-quote-generator-app - A simple web application using a React front-end and a Python back-end API, both secured using ZITADEL.
functions-framework-python - FaaS (Function as a service) framework for writing portable Python functions
professional-services vs Competitive-Programming
python-docs-samples vs nodejs-docs-samples
professional-services vs DataflowTemplates
python-docs-samples vs python-firestore
professional-services vs workflows-samples
python-docs-samples vs java-docs-samples
professional-services vs bigquery-schema-generator
python-docs-samples vs documentation
professional-services vs example-quote-generator-app
python-docs-samples vs functions-framework-python