30-45-min tech talk given at user groups or technical conferences to introducing developers to integrating with Google APIs from Python . ABSTRACT Want to integrate Google technologies into the web+mobile apps that you build? Google has various open source libraries & developer tools that help you do exactly that. Users who have run into roadblocks like authentication or found our APIs confusing/challenging, are welcome to come and make these non-issues moving forward. Learn how to leverage the power of Google technologies in the next apps you build!!

1. Exploring Google APIs
with Python
What are they & how to get started
Vancouver :: Fall 2023
Wesley Chun
Principal, CyberWeb
@wescpy@
Principal Consultant, CyberWeb
● Mission: produce accelerated Python
developers, enable developers to be
successful using Google Cloud and
other Google developer tools & APIs
● Focus: Python, Google Cloud (GCP) &
Google Workspace (GWS) APIs; GAE
migrations; Google X-product sol'ns
● Services: technical consulting,
training, engineering, speaking, code
samples, hands-on tutorials, public
technical content (blogs, social, etc.)
About the speaker
Previous experience / background
● Software Engineer & Developer Advocate
○ Google, Sun, HP, Cisco, EMC, Xilinx &
○ Original Yahoo!Mail engineer/SWE
● Technical trainer, teacher, instructor
○ Teaching Math, Linux, Python since '83
○ Adjunct CS Faculty at local SV colleges
● Python community member
○ Popular Core Python series author
○ Python Software Foundation Fellow
● AB (Math/CS) & CMP (Music/Piano), UC
Berkeley and MSCS, UC Santa Barbara
● Adjunct Computer Science Faculty, Foothill
College (Silicon Valley)
GWS Dev Show
goo.gl/JpBQ40
GAE migration
bit.ly/3xk2Swi

2. Exploring Google APIs: why & agenda
● People know Google for search, YouTube, Chrome, Android & Gmail
● Google also has extensive set of developer APIs, tools & platforms
● These include Cloud (GCP), Workspace (GWS), Maps (GMP) & others
● Some say learning Google APIs, esp. security, is challenging
● "Mythbusting:" introduce APIs, how to get started, provide inspiration
Introduction to
Google APIs
1
Google Cloud
(GCP)
2
Google
Workspace
(GWS)
3
Google APIs
code samples
4 5
Inspiration
6
Wrap-up
01
Intro to Google APIs
Why are you here?

4. General steps
1. Go to Cloud Console
2. Login to Google/Gmail account
(Workspace domain may require admin approval)
3. Create project (per application)
4. Enable APIs to use
5. Enable billing (CC, Free Trial, etc.)
6. Download client library(ies)
7. Create & download credentials
8. Write code*
9. Run code (may need to authorize)
Google APIs: how to use
*In your code
1. Import API client library
2. Create API client object
3. Use client to make API Calls
Costs & pricing
● GCP & GMP: pay-per-use (CC req'd)
● GWS: "subscription" (incl. $0USD/mo.)
● GMP: $200/mo. free usage
● GCP Free Trial: $300/1Q
● GCP "Always Free" tier
○ Some products have free tier
○ Daily or monthly quota
○ Must exceed to incur billing
● More on both programs at
cloud.google.com/free
Cloud/GCP console
console.cloud.google.com
● Hub of all developer activity
● Applications == projects
○ New project for new apps
○ Projects have a billing acct
● Manage billing accounts
○ Financial instrument required
○ Personal or corporate credit cards,
Free Trial, and education grants
● Access GCP product settings
● Manage users & security
● Manage APIs in devconsole

5. ● View application statistics
● En-/disable Google APIs
● Obtain application credentials
Using Google APIs
goo.gl/RbyTFD
API manager aka Developers Console (devconsole)
console.developers.google.com
Google APIs client
libraries for common
languages; demos in
developers.google.com/api-
client-library
cloud.google.com/apis/docs
/cloud-client-libraries

6. Client libraries and credentials types
● Two different client library types
○ Platform-level client libraries (lower-level)
■ Multiple product groups as a "lowest-common denominator"
■ Install: developers.google.com/api-client-library
○ Product-level client libraries (higher-level)
■ Custom client libraries made specifically for 1 product or product group
■ Found on product or product group page(s)
● Three different credentials types
○ Simple: API keys (access public data)
■ Simplest form of authorization: an API key; tied to a project
○ Authorized: OAuth client IDs (access data owned by [human] user)
■ Provides additional layer of security via OAuth2 (RFC 6749)
○ Authorized: service accounts (access data owned by an app/robot user)
■ Provides additional layer of security via OAuth2 or JWT (RFC 7519)
Blog series:
dev.to/wescpy
OAuth2 or
API key
HTTP-based REST APIs 1
HTTP
2
Google APIs request-response workflow
● Application makes request
● Request received by service
● Process data, return response
● Results sent to application
(typical client-server model)

7. 02
Google Cloud (GCP)
Platform & APIs overview

8. Running Code: Compute Engine
>
Google Compute Engine delivers
configurable virtual machines
of all shapes and sizes, from
"micro" to 416 vCPUs, 11.776
TB RAM, 256 TB HDD or SSD
disk; GPUs & TPUs
(Debian, CentOS, CoreOS, SUSE, Red Hat Enterprise
Linux, Ubuntu, FreeBSD; Windows Server 2008 R2, 2012
R2, 2016, 1803, 1809, 1903/2019, 1909)
cloud.google.com/compute
Running Code: Kubernetes Engine
Got a containerized application?
Google Kubernetes Engine (GKE) is
an enterprise-grade, fully-managed
container orchestration service.
cloud.google.com/kubernetes-engine

9. Running Code: App Engine
Got a great app idea? Now what?
VMs? Operating systems? Big disk?
Web servers? Load balancing?
Database servers? Autoscaling?
With Google App Engine, you don't
think about those. Just upload
your code; we do everything else.
>
cloud.google.com/appengine
Running Code: Cloud Functions
Don't have an entire app? Just want
to deploy small microservices or
"RPCs" online globally? That's what
Google Cloud Functions are for!
(+Firebase version for mobile apps)
cloud.google.com/functions
firebase.google.com/products/functions

10. Running Code: Cloud Run
Got a containerized app? Want its
flexibility along with the convenience
of serverless that's fully-managed
plus auto-scales? Google Cloud Run is
exactly what you're looking for!
Need custom HW? Cloud Run on GKE
cloud.google.com/run
Storing Data: Cloud Storage, Filestore, Persistent Disk
cloud.google.com/storage
cloud.google.com/filestore
cloud.google.com/persistent-disk

11. Storing Data: Cloud SQL
SQL servers in the cloud
High-performance, fully-managed
600MB to 416GB RAM; up to 64 vCPUs
Up to 10 TB storage; 40,000 IOPS
Types:
MySQL
Postgres
SQLServer (2019)
cloud.google.com/sql
Storing Data: Cloud Firestore
The best of both worlds: the next
generation of Cloud Datastore
(w/product rebrand) plus features
from the Firebase realtime database
(For choosing between Firebase & Cloud Firestore: see
firebase.google.com/docs/firestore/rtdb-vs-firestore;
for choosing between Firestore Datastore & Firestore Native modes:
see cloud.google.com/datastore/docs/firestore-or-datastore)
cloud.google.com/firestore

12. Storing and Analyzing Data: BigQuery
Google BigQuery: fully-managed data
warehouse for large-scale data
analytics with built-in machine
learning (BQML); issue SQL queries
across multi-terabytes of data. BQ
Sandbox lets anyone query up to
1TB/mo for free with no obligation
cloud.google.com/bigquery
Passing Data & Events: Cloud Pub/Sub
Cloud Pub/Sub: a fast, highly
scalable, fully-managed multi
fan-in/fan-out publisher-subscriber
queuing system for messaging &
event ingestion and distribution
(managed Apache Kafka)
cloud.google.com/pubsub

13. Machine Learning: Cloud Vision & Video Intelligence
Google Cloud Vision & Video
Intelligence APIs enable developers
to extract metadata & understand the
content of images & videos, making
them searchable & discoverable.
cloud.google.com/vision
cloud.google.com/video-intelligence
Machine Learning: Cloud Natural Language
Google Cloud Natural Language API
reveals the structure and meaning
of text, performing sentiment
analysis, content classification,
entity extraction, and syntactical
structure analysis; multi-lingual
cloud.google.com/language

14. Machine Learning: AutoML
AutoML: a suite of cloud APIs for
developers with limited machine
learning expertise; auto-selects best
models & allows for further training
of those models for your data
(Translation, Vision, Natural Language,
Video Intelligence, Tables)
cloud.google.com/automl
cloud.google.com/automl-tables
Machine Learning: Cloud Generative AI
Google Cloud Generative AI is a set
of tools & APIs (like Vertex AI &
Duet AI) that make it easier for
developers to build generative
AI-powered services & applications;
includes Gemini & PaLM 2 models
cloud.google.com/ai/generative-ai

15. 03
Google Workspace (GWS)
They aren't just apps; you can code them too!
● GWS developer home: developers.google.com/gsuite
● GWS developer intro: youtu.be/NqumcYgj5LI
● GWS REST APIs: youtu.be/2VpvWhDdXsI
● GWS Apps Script: youtu.be/xDovB0pu4OU
● Comprehensive overview: youtu.be/kkp0aNGlynw
Google Workspace
(formerly G Suite and Google Apps)
(GWS) APIs

16. Google Workspace: Google Drive
Drive API allows developers to read,
write, control permissions/sharing,
import/export files, and more!
developers.google.com/drive
Google Workspace: Google Docs & Slides
Docs & Slides APIs give you access
to read or write documents and
presentations programmatically so
you can auto-generate them with data
integrated from various sources
developers.google.com/docs
developers.google.com/slides

17. Google Workspace: Google Sheets
Sheets API gives you programmatic
access to spreadsheets; perform
(w/code) almost any action you can
do from the web interface as a user
developers.google.com/sheets
Google Workspace: Gmail
Gmail API lets developers access the
power of Gmail by letting you read &
send messages, work with labels, issue
search queries, manage settings(email
sig, OoO responder), and much more!
developers.google.com/gmail

18. Google Workspace: Apps Script
Apps Script: A customized serverless JS
runtime for automation, and extension
and integration with Google Workspace
(formerly G Suite), Google, or other
external services. Access 40+ different
Google services w/o using APIs or
writing OAuth code.
developers.google.com/apps-script
Google Workspace: Chat
(Hangouts) Chat: Not just for
conversations, create bots to automate
workflows, query for information, or
perform other heavy-lifting from simple
chat commands. Can also send
asynchronous alerts to notify users.
developers.google.com/chat

19. 04
Code samples
See Google APIs in action!
List (first 100) files/folders in Drive (older, OAuth2)
from __future__ import print_function
from googleapiclient import discovery
from httplib2 import Http
from oauth2client import file, client, tools
SCOPES = 'https://www.googleapis.com/auth/drive.metadata.readonly'
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
github.com/wescpy/gsuite-apis-intro

20. Back up your file archives
Write your own or see github.com/googlearchive/drive-zipextractor (JS)
Automate photo albums
OR

21. Try our Node.js customized reporting tool codelab:
g.co/codelabs/sheets
Why use the Sheets API?
data visualization
customized reports
Sheets as a data source
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

22. Try our Node.js BigQuery GitHub license analyzer codelab:
g.co/codelabs/slides
Why use the Slides API?
data visualization
presentable reports
Try our Node.js Markdown-to-Google-Slides generator:
github.com/gsuitedevs/md2googleslides
Why use the Slides API?
customized presentations

23. Replace text & images from template deck
requests = [
# (global) search-and-replace text
{'replaceAllText': {
'findText': '{{TITLE}}',
'replaceText': 'Hello World!',
}},
# replace text-based image placeholders (global)
{'replaceAllShapesWithImage': {
'imageUrl': IMG_URL, # link to product logo
'replaceMethod': 'CENTER_INSIDE',
'containsText': {'text': '{{LOGO}}'},
}},
]
SLIDES.presentations().batchUpdate(body={'requests': requests},
presentationId=DECK_ID, fields='').execute()
Replacing text
and images
goo.gl/o6EFwk
Creating events in Calendar
# define event data, then create event
TIMEZONE = 'America/Los_Angeles'
EVENT = {
'summary': 'Dinner with friends',
'start': {'dateTime': '2017-06-14T19:00:00', 'timeZone': TIMEZONE},
'end': {'dateTime': '2017-06-14T22:00:00', 'timeZone': TIMEZONE},
'attendees': [
{'email': 'friend1@example.com'},
{'email': 'friend2@example.com'},
],
}
GCAL.events().insert(calendarId='primary', body=EVENT,
sendNotifications=True, fields='').execute()
Modifying and
recurring events
goo.gl/J2XkXc
Creating events
goo.gl/KuYMiq

24. Firestore (Native): object create & query
from datetime import datetime
from google.cloud import firestore
def store_time(timestamp):
visits = FIRESTORE.collection('visit')
visits.add({'timestamp': timestamp})
def fetch_times(limit):
visits = FIRESTORE.collection('visit')
return visits.order_by(u'timestamp',
direction=firestore.Query.DESCENDING).limit(limit).stream()
FIRESTORE = firestore.Client() # create Cloud Firestore client
print('** Adding another visit')
store_time(datetime.now()) # store a "visit" object
print('** Last 10 visits')
times = fetch_times(10) # fetch 10 most recent "visits"
for obj in times:
print('-', obj.to_dict()['timestamp'])
BigQuery: querying Shakespeare words
from google.cloud import bigquery
TITLE = "The 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 = bigquery.Client().query(QUERY).result()
print('n*** Results for %r:n' % TITLE)
print('t'.join(col.name.upper() for col in rsp.schema)) # HEADERS
print('n'.join('t'.join(str(x) for x in row.values()) for row in rsp)) # DATA

25. Top 10 most common Shakespeare words
$ python 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
● BigQuery public data sets: cloud.google.com/bigquery/public-data
● BQ sandbox (1TB/mo free): cloud.google.com/bigquery/docs/sandbox (see blog post)
● Other public data sets: cloud.google.com/public-datasets (Google Cloud),
research.google/tools/datasets (Google Research), and Kaggle (kaggle.com)
● COVID-19 BigQuery data sets
○ How to use our data sets (see blog post)
○ JHU Coronavirus COVID-19 Global Cases data set
○ List of all COVID-19 data sets
● Cloud Life Sciences API: cloud.google.com/life-sciences (see blog post)
● Cloud Healthcare API: cloud.google.com/healthcare (see blog post)
BigQuery and public data sets

26. from google.cloud import vision
image_uri = 'gs://cloud-samples-data/vision/using_curl/shanghai.jpeg'
client = vision.ImageAnnotatorClient()
image = vision.types.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%%)' % (label.score*100.))
Vision: label annotation/object detection
$ python3 label-detect.py
Labels (and confidence score):
==============================
People (95.05%)
Street (89.12%)
Mode of transport (89.09%)
Transport (85.13%)
Vehicle (84.69%)
Snapshot (84.11%)
Urban area (80.29%)
Infrastructure (73.14%)
Road (72.74%)
Pedestrian (68.90%)
Vision: label annotation/object detection
g.co/codelabs/vision-python

27. Simple sentiment & classification analysis
from google.cloud import language
TEXT = '''Google, headquartered in Mountain View, unveiled the new
Android phone at the Consumer Electronics Show. Sundar Pichai said
in his keynote that users love their new Android phones.'''
NL = language.LanguageServiceClient()
document = language.types.Document(content=TEXT,
type=language.enums.Document.Type.PLAIN_TEXT)
print('TEXT:', TEXT) # sentiment analysis
sent = NL.analyze_sentiment(document).document_sentiment
print('nSENTIMENT: score (%.2f), magnitude (%.2f)' % (sent.score, sent.magnitude))
print('nCATEGORIES:') # content classification
categories = NL.classify_text(document).categories
for cat in categories:
print('* %s (%.2f)' % (cat.name[1:], cat.confidence))
Simple sentiment & classification analysis
$ python nl_sent_simple.py
TEXT: Google, headquartered in Mountain View, unveiled the new Android
phone at the Consumer Electronics Show. Sundar Pichai said in
his keynote that users love their new Android phones.
SENTIMENT: score (0.20), magnitude (0.50)
CATEGORIES:
* Internet & Telecom (0.76)
* Computers & Electronics (0.64)
* News (0.56)

28. Search YouTube for videos
from __future__ import print_function
from googleapiclient import discovery
from settings import API_KEY
QUERY = 'python -snake'
trim = lambda x, ct: ('%s%s' % (x[:ct],
'...' if len(x)>ct else '')).ljust(ct+3)
print('n** Searching for %r videos...' % QUERY)
YOUTUBE = discovery.build('youtube', 'v3', developerKey=API_KEY)
res = YOUTUBE.search().list(q=QUERY, type='video',
part='id,snippet').execute().get('items', [])
for item in res:
print('http://youtu.be/%st%s' % (
trim(item['id']['videoId'], 24),
trim(item['snippet']['title'], 48)))
Maps APIs geocoding & places queries
import googlemaps
from settings import API_KEY
GMAPS = googlemaps.Client(key=API_KEY)
print('n** Geocode address:')
rsp = GMAPS.geocode('1600 Amphitheatre Pkwy 94043')
latlong = rsp[0]['geometry']['location']
print('tGeocode:', latlong['lat'], ',', latlong['lng'])
print('n** Address lookup:')
rsp = GMAPS.reverse_geocode((37.4222934, -122.0841409))
print('tAddress:', rsp[0]['formatted_address'])
print('n** Place query:')
pl_id = GMAPS.find_place('Villa Tugendhat',
input_type='textquery')['candidates'][0]['place_id']
place = GMAPS.place(pl_id)['result']
print('tPlace:t', place['name'])
print('tAddress:t', place['formatted_address'])
print('tWebsite:t', place['website'])
print('tMaps URL:t', place['url'])
$ python3 maps-demo-pub.py
** Geocode address:
Geocode: 37.4222934 , -122.0841409
** Address lookup:
Address: 1600 Amphitheatre Pkwy, Mountain View, CA
94043, USA
** Place query:
Place: Villa Tugendhat
Address: Černopolní 45, 613 00 Brno, Czechia
Website: tugendhat.eu
Maps URL: maps.google.com/?cid=5889127146370224362
Google Maps APIs
● Directions API
● Distance Matrix API
● Elevation API
● Geocoding API
● Geolocation API
● Time Zone API
● Roads API
● Places API
● Maps Static API

29. 05
Inspiration
Build powerful solutions
with "one Google"
Cloud image processing workflow
Archive and analyze GWS data (images) with GCP

31. Image: Gerd Altmann from Pixabay

32. Cloud
Vision
Google Workspace GCP
Cloud image processing workflow
Cloud
Storage
Drive
Sheets
Archive
image
Categorize
image
Record
results

33. Cloud image processing workflow
def drive_get_file(fname):
rsp = DRIVE.files().list(q="name='%s'" % fname).execute().get['files'][0]
fileId, fname, mtype = rsp['id'], rsp['name'], rsp['mimeType']
blob = DRIVE.files().get_media(fileId).execute()
return fname, mtype, rsp['modifiedTime'], blob
def gcs_blob_upload(fname, bucket, blob, mimetype):
body = {'name': fname, 'uploadType': 'multipart',
'contentType': mimetype}
return GCS.objects().insert(bucket, body, blob).execute()
def vision_label_img(img, top):
body = {'requests': [{'image': {'content': img}, 'features':
[{'type': 'LABEL_DETECTION', 'maxResults': top}]}]}
rsp = VISION.images().annotate(
body=body).execute().get('responses', [{}])[0]
return ', '.join('%s (%.2f%%)' % (label['description'],
label['score']*100.) for label in rsp['labelAnnotations'])
def sheet_append_row(sheet, row):
rsp = SHEETS.spreadsheets().values().append(
spreadsheetId=sheet, range='Sheet1',
body={'values': rows}).execute()
return rsp.get('updates').get('updatedCells')
def main(fname, bucket, sheet_id, top):
fname, mtype, ftime, data = drive_get_img(fname)
gcs_blob_upload(fname, bucket, data, mtype)
rsp = vision_label_img(data, top)
sheet_append_row(sheet_id, [fname, mtype,
ftime, len(data), rsp])
API method calls in Bold
Driver calls in Bold Italics
● Project goal: Imagining an actual enterprise use case and solve it!
● Specific goals: free-up highly-utilized resource, archive data to
colder/cheaper storage, analyze images, generate report for mgmt
● Download image binary from Google Drive
● Upload object to Cloud Storage bucket
● Send payload for analysis by Cloud Vision
● Write back-up location & analysis results into Google Sheets
● Blog post: goo.gle/3nPxmlc (original post); Cloud X-post
● Codelab: free, online, self-paced, hands-on tutorial
● g.co/codelabs/drive-gcs-vision-sheets
● Application source code
● github.com/wescpy/analyze_gsimg
App summary

34. 06
Wrap-up
Summary & resources
Summary: Google developer tools & APIs
● Google provides more than just apps
○ More than search, YouTube, Android, Chrome, Gmail, and Docs
○ Google technology & integration available to developers via APIs
● Tour of Google (Cloud) APIs & developer tools
○ GWS: not just a set of productivity apps… you can code them too!
○ GCP: compute, storage, networking, security, data & machine learning tools
■ Serverless: frees developers from infrastructure
■ So you can focus on building solutions
● Interesting possibilities when using >1 Google product families/APIs
● With Google: run your apps, analyze & store your data

35. Other Google APIs & platforms
● Firebase (mobile development platform + RT DB; ML Kit)
○ firebase.google.com & firebase.google.com/docs/ml-kit
● Google Looker/Data Studio (data visualization, dashboards, etc.)
○ datastudio.google.com/overview
○ goo.gle/datastudio-course
● Actions on Google/Assistant/DialogFlow (voice apps)
○ developers.google.com/actions
● YouTube (Data, Analytics, and Livestreaming APIs)
○ developers.google.com/youtube
● Google Maps (Maps, Routes, and Places APIs)
○ developers.google.com/maps
● Flutter (native apps [Android, iOS, web] w/1 code base[!])
○ flutter.dev
● Documentation (most APIs have "Quickstarts")
○ GCP: cloud.google.com/{docs,appengine,functions,run,vision,automl,translate,language,
speech,texttospeech,video-intelligence,firestore,bigquery,compute,storage,gpu,tpu}
○ GWS: developers.google.com/{gsuite,drive,calendar,gmail,docs,sheets,slides,apps-script}
● Introductory "codelabs" ([free] self-paced, hands-on tutorials)
○ GWS APIs: g.co/codelabs/gsuite-apis-intro (featuring Drive API)
○ Apps Script: g.co/codelabs/apps-script-intro
○ App Engine: codelabs.developers.google.com/codelabs/cloud-app-engine-python
○ Cloud Functions: codelabs.developers.google.com/codelabs/cloud-starting-cloudfunctions
○ Cloud Run: codelabs.developers.google.com/codelabs/cloud-run-hello-python3
○ Others: g.co/codelabs (all Google codelabs) and g.co/codelabs/cloud (GCP-only)
● Videos: youtube.com/GoogleCloudPlatform (GCP) and goo.gl/JpBQ40 (GWS)
● Code samples: github.com/GoogleCloudPlatform (GCP) and github.com/googleworkspace (GWS)
● Cloud Free Trial (new users) and Always Free (daily/monthly tier) programs: cloud.google.com/free
● Know AWS/Azure? Compare with GCP products at cloud.google.com/docs/compare/aws
● Language support: cloud.google.com/{python,java,nodejs,go,php,ruby,dotnet}
Resources (industry)

36. Bring me to your organization
... it is my job to help you!
● "Transfer of Info" tech talks
● Half- or full-day seminars
● Hands-on "codelab" workshops
● Multi-day training courses
● Engineering consulting
● Migration strategy & planning
● cyberwebconsulting.com
● appenginemigration.com
Slides
you're looking
at them now
Work
cyberwebconsulting.com
Books
corepython.com
Blog
dev.to/wescpy
Img proc post
goo.gle/3nPxmlc
GCP+GWS 101 (2019)
youtu.be/ri8Bfptgo9Q
...& 102 talks (2023)
youtu.be/3IQ4Yv80lJg
Progress bars
goo.gl/69EJVw
Thank you! Questions?
Wesley Chun
Principal Consultant, CyberWeb
Python, GCP & GWS specialist
@wescpy (Tw/X, SO, GH, IG, LI)