This is a 15-20 minute tech talk designed for those who wish to use Google APIs, but don't know how to get started quickly. This session introduces developers to two distinct ways of accessing our APIs, the standard HTTP-based REST APIs or Google Apps Script, a customized JS environment which provides Google API access via objects. It concludes with some inspirational app ideas of what you can build using Google Cloud APIs (covering both GCP & G Suite).
1. Using Google (Cloud) APIs
(meaning GCP & G Suite APIs)
Wesley Chun
Developer Advocate, Google
Adjunct CS Faculty, Foothill College
G Suite Dev Show
goo.gl/JpBQ40
About the speaker
● Developer Advocate, Google Cloud
● Mission: enable current and future developers to be successful using
Google Cloud and other Google developer tools, APIs, and platforms
● Videos: host of the G Suite Dev Show on YouTube
● Blogs: developers.googleblog.com &
gsuite-developers.googleblog.com
● Twitters: @wescpy, @GCPcloud, @GoogleDevs, @GSuiteDevs
● Background
● Software engineer & architect for 20+ years
● One of the original Yahoo!Mail engineers
● Author of bestselling "Core Python" books (corepython.com)
● Teacher and technical instructor since 1983 (all ages)
● Fellow of the Python Software Foundation
● AB Mathematics & CMP Music, UC Berkeley; MSCS UC Santa Barbara
2. Agenda and Why
● Not enough cloud computing in engineering curriculum
● Need to prep next-generation cloud-ready workforce
● Using APIs should be a nativeskill of new grads
● Introduction to Google Cloud (APIs)
● Using Google (Cloud) REST APIs
● Using Google Apps Script
● Inspirational app ideas (both GCP & G Suite APIs)
1 Introduction to
Google Cloud (APIs)
GCP and G Suite
3. Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Google Apps Script, App Maker
Salesforce1/force.com
G Suite (Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Google BigQuery, Cloud SQL,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL Database
Google Cloud Platform vs. G Suite
G Suite
APIs
GCP
APIs
4. How to access Google APIs
● Two ways primarily
○ HTTP-based REST APIs (lower-level)
■ Need either simple API keys or OAuth2 client IDs
■ Any client library supported language
● Python, Java, JS, PHP, Go, Ruby, C#, Dart, etc.
○ Google Apps Script (higher-level)
■ Use APIs as objects in customized JS environment
● No need to code OAuth nor HTTP
■ Access 40+ Google APIs/services
2
Using Google (Cloud)
HTTP-based REST APIs
Short Python code snippets using GCP & G Suite APIs
API key (public data) vs. OAuth2 access (private data)
5. The first word on Security
Authentication ("authn") vs authorization ("authz")
● authn: you are who you say you are
○ login & passwd
○ handprint authentication
○ retina scan
● authz: okay, you are who you say you are, but can you haz data?
○ OAuth2 - mostly authz, but some authn
○ Mostly about 3rd-party access to data
○ Users must give YOUR app access to THEIR data
○ Most of the time when you see "auth", it refers to authz
Developers Console (devconsole)
6. ● Manage your projects
● Obtain application credentials
● En-/disable Google APIs
Google APIs client
libraries for many
languages; demos in
developers.google.com/
api-client-library
7. List (first 100) files/folders in Google Drive
from __future__ import print_function
from apiclient import discovery
from httplib2 import Http
from oauth2client import file, client, tools
SCOPES = 'https://www.googleapis.com/auth/drive.readonly.metadata'
store = file.Storage('storage.json')
creds = store.get()
if not creds or creds.invalid:
flow = client.flow_from_clientsecrets('client_secret.json', SCOPES)
creds = tools.run_flow(flow, store)
DRIVE = discovery.build('drive', 'v3', http=creds.authorize(Http()))
files = DRIVE.files().list().execute().get('files', [])
for f in files:
print(f['name'], f['mimeType'])
Listing your files
goo.gl/ZIgf8k
Automate photo albums
OR
8. Migrate SQL data to a Sheet
# read SQL data then create new spreadsheet & add rows into it
FIELDS = ('ID', 'Customer Name', 'Product Code',
'Units Ordered', 'Unit Price', 'Status')
cxn = sqlite3.connect('db.sqlite')
cur = cxn.cursor()
rows = cur.execute('SELECT * FROM orders').fetchall()
cxn.close()
rows.insert(0, FIELDS)
DATA = {'properties': {'title': 'Customer orders'}}
SHEET_ID = SHEETS.spreadsheets().create(body=DATA,
fields='spreadsheetId').execute().get('spreadsheetId')
SHEETS.spreadsheets().values().update(spreadsheetId=SHEET_ID, range='A1',
body={'values': rows}, valueInputOption='RAW').execute()
Migrate SQL
data to Sheets
goo.gl/N1RPwC
BigQuery: querying Shakespeare words
TITLE = "The top 10 most common words in all of Shakespeare's works"
QUERY = '''
SELECT LOWER(word) AS word, sum(word_count) AS count
FROM [bigquery-public-data:samples.shakespeare]
GROUP BY word ORDER BY count DESC LIMIT 10
'''
rsp = BQ.query(body={'query': QUERY}, projectId=PROJ_ID).execute()
print('n*** Results for %r:n' % TITLE)
for col in rsp['schema']['fields']: # HEADERS
print(col['name'].upper(), end='t')
print()
for row in rsp['rows']: # DATA
for col in row['f']:
print(col['v'], end='t')
print()
9. Top 10 most common Shakespeare words
$ python3 bq_shake.py
*** Results for "The most common words in all of Shakespeare's works":
WORD COUNT
the 29801
and 27529
i 21029
to 20957
of 18514
a 15370
you 14010
my 12936
in 11722
that 11519
3
Using Google Apps Script
Customized JS runtime for G Suite
automation, extension, and integration
(Also Google App Maker for non-developers)
11. What can you do with this?
Accessing maps from
spreadsheets?!?
goo.gl/oAzBN9
This… with help from Google Maps & Gmail
function sendMap() {
var sheet = SpreadsheetApp.getActiveSheet();
var address = sheet.getRange("A2").getValue();
var map = Maps.newStaticMap().addMarker(address);
MailApp.sendEmail(EMAIL, "Map", map.getMapUrl());
}
JS
14. Custom intelligence in Gmail
Analyze G Suite data with GCP
Gmail
Cloud
Pub/Sub
Cloud
Functions
Cloud
Vision
G Suite GCP
Star
message
Message
notification
Trigger
function
Extract
images
Categorize
images
Inbox augmented with Cloud Function
15. Big data analysis to slide deck
Access GCP tools from G Suite
Supercharge G Suite with GCP
G Suite GCP
BigQuery
Apps Script
Slides Sheets
Application
request
Big data
analytics
16. 5 Summary &
resourcces
What's next?
References
● Official documentation
○ cloud.google.com
○ developers.google.com/gsuite
○ developers.google.com/apps-script
● Codelabs (self-paced, hands-on tutorials)
○ g.co/codelabs/gsuite-apis-intro
○ g.co/codelabs/apps-script-intro
○ g.co/codelabs/cloud
○ google.qwiklabs.com (not free but can get credits)
● Inspirational demo apps' resources
○ cloud.withgoogle.com/next18/sf/sessions/session/156878
○ cloud.google.com/blog/products/application-development/
adding-custom-intelligence-to-gmail-with-serverless-on-gcp
● YouTube video series:
○ Google Cloud Platform:
youtube.com/GoogleCloud
○ Recommended: Cloud Minute
shorts & Cloud NEXT videos
○ G Suite Dev Show:
goo.gl/JpBQ40
17. Resources for Higher Education
● Education grant program
○ Teaching grants (per-course basis)
■ $50USD for students
■ $100USD for faculty & TAs
■ You'll barely use any of it… key: no need to give Google a credit card
○ Research grants
■ Larger amounts, granted for longer period of time
○ Turnaround time: 3-4 business days
● Teacher center
○ teachercenter.withgoogle.com/gcp
○ Apply here for education grants
○ Apply here for Qwiklabs credits
Thank you! Questions?
Wesley Chun
@wescpy