Introduction to Google Cloud Platform and APIs
- 1. Introduction to Google Cloud Platform and APIs Alex Marginean
- 2. Google Cloud Platform Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Drive, and YouTube - Wikipedia Introduction With GCP, customers are able to access computer resources housed in Google’s data centers around the world for free or on a pay-per-use basis - A Cloud Guru
- 3. Data center locations Google Cloud Platform
- 4. Customers Google Cloud Platform GCP is being used by almost 1M companies worldwide
- 7. Application Programming Interface APIs Client API Database Request Response
- 8. Cloud Vision API allows developers to easily integrate vision detection features within applications. It offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects, read printed and handwritten text, and build valuable metadata into your image catalog. What’s this? Cloud Vision API
- 9. ● Detect objects ● Printed/Handwritten text detection ● Image labeling ● Dominant colors etc. What does it do? Cloud Vision API
- 10. Let’s see this in action https://cloud.google.com/vision
- 11. Start using it in your apps Cloud Vision API Install Vision API API & Services → Library → Cloud Vision API Create a new Project on GCP Select a Project → New Project Generate Credentials API & Services → Credentials → Create Credentials → Service Account Write your code Don’t forget to install google-cloud-vision library for python 1 2 3 4
- 12. image_uri = 'gs://cloud-samples-data/vision/using_curl/shanghai.jpeg' client = vision.ImageAnnotatorClient() image = vision.Image() image.source.image_uri = image_uri response = client.label_detection(image=image) print('Labels (and confidence score):') print('=' * 30) for label in response.label_annotations: print(label.description, "({:.2f}%)".format(label.score * 100))
- 13. ● Mood meter App - Identify people’s emotions ● Theme builder - Identify dominant colors ● Instagram tagger - generate tags based on image You can do whatever you think! Usage ideas Cloud Vision API
- 14. Distance Matrix API is part of the Google Maps Platform APIs and provides travel distance and time for a matrix of origins and destinations What is it? Distance Matrix API
- 15. Start using it in your apps Distance Matrix API Install Distance Matrix API API & Services → Library → Distance Matrix API Create a new Project on GCP Select a Project → New Project Generate Credentials API & Services → Credentials → Create Credentials → API Key Write your code No external library needed 1 2 3 4
- 16. Code Demo Distance Matrix API import requests url = "https://maps.googleapis.com/maps/api/distancematrix/json" params = { "origins": "", "destinations": "", "units": "", "key": "” } response = requests.get(url, params=params) print(response.json())
- 17. ● Distance estimation ● Time estimation ● Directions ● Traffic information ● Many more! Use Cases Distance Matrix API
- 18. Many Useful APIs ● Analytics API ● Time Zone API ● Maps Embed API ● Google Docs API ● Maps Static API ● Distance Matrix API ● Calendar API ● Places API And many more!
- 19. Useful Links Google Cloud Developer Cheatsheet googlecloudcheatsheet.withgoogle.com/ Information on different Google Cloud Products available Google Cloud Codelabs codelabs.developers.google.com/?product=googlecloud Codelabs on how to implement specific features in a programming language/framework Google Cloud Skills Boost cloudskillsboost.google/paths Learning Pathways for a bunch of Google Cloud topics
- 20. Feedback Form
- 21. Questions? Thank you for attending!