In this session, we introduce Boto 3, the next major version of the AWS SDK for Python. You will learn about the new features in the SDK, such as the high-level resource APIs that simplify working with AWS collections and objects, and the eventing model that enables customizing your calls to AWS services. We use a sample application to demonstrate these features, and show how to integrate them with your existing projects.

2. BotoProject Overview
Boto3 Features
Project Example

4. Project Started
Community Contributions
Amazon
Service
Updates
Code Generation
Python 3 Support

5. importboto
conn =boto.connect_s3()
bucket =conn.get_bucket('my-bucket')
forobjinbucket:
print(obj.key, obj.last_modified)

6. BotoProject Overview
Boto3 Features
Project Example

8. Boto3
Botocore
Session
Resources
Clients
Config
Session
Credentials
Clients
Authentication
Serialization
HTTPS

9. importboto3
s3 =boto3.resource('s3')
bucket =s3.Bucket('my-bucket')
forobjinbucket.objects.all():
print(obj.key, obj.last_modified)

11. importboto3
sqs=boto3.client('sqs')
response =sqs.list_queues(QueueNamePrefix='test')
print(response['QueueUrls'][0])

12. "QueueUrls"
"https://queue.amazonaws.com/12345678/products"
"https://queue.amazonaws.com/12345678/news"
"https://queue.amazonaws.com/12345678/test"
"https://queue.amazonaws.com/12345678/jobs"

14. s3 =boto3.client('s3')
# Get a paginatorand iterate through each page
paginator=s3.get_paginator('list_objects')
forpage inpaginator.paginate(Bucket='my-bucket'):
forobjinpage['Contents']:
print(obj['Key'])

15. Starting
Running
Terminated

16. ec2 =boto3.client('ec2')
# Get a waiter and wait for instance to be ready
waiter =ec2.get_waiter('instance_running')
waiter.wait(InstanceIds=['i-abc123'])
print('Instance is ready!')

18. instance = Instance(id)
Amazon EC2
bucket = Bucket(name)
Amazon S3
queue = Queue(url)
Amazon SQS

19. instance.id
Amazon EC2
object.bucket_name, object.key
Amazon S3
queue.url
Amazon SQS

20. instance.instance_type
Amazon EC2
object.last_modified
Amazon S3
queue.attributes[‘DelaySeconds’]
Amazon SQS

21. instance.create_image(…)
Amazon EC2
object.put(Body=‘hello’)
Amazon S3
queue.receive_messages()
Amazon SQS

22. instance.subnet
Amazon EC2
-
Amazon S3
-
Amazon SQS

23. ec2.Instance(id)
Amazon EC2
bucket.Object(key)
Amazon S3
sqs.Queue(url)
Amazon SQS

24. ec2.instances
Amazon EC2
bucket.objects
Amazon S3
sqs.queues
Amazon SQS

25. importboto3
s3 =boto3.resource('s3')
obj=s3.Object('my-bucket', 'my-key.jpg')
print(obj.content_type)
print(obj.last_modified)

26. forobjins3.Bucket(name='boto3').objects.all():
print(obj.key)
forqueue insqs.queues.filter(QueueNamePrefix='a'):
print(queue.url)
# Batch actions coming soon!
bucket.objects.delete()

29. BotoProject Overview
Boto3 Features
Project Example

38. Amazon SQS

39. Amazon SQS

44. importboto3
# Creating a client by name
client =boto3.client('s3')
# Creating a resource by name
resource =boto3.resource('s3')

46. importboto3
# Create a new bucket
s3 =boto3.resource('s3')
bucket =s3.create_bucket(Name='Boto3')
# Get a bucket by name
bucket =s3.Bucket('Boto3')

47. importboto3
# Get a bucket by name
bucket =s3.Bucket('Boto3')
# Upload a new file
withopen('file.mov', 'rb') asdata:
bucket.Object('file.mov').put(Body=data)

49. importboto3
# List all objects in all buckets
s3 =boto3.resource('s3')
forbucket ins3.buckets.all():
forobjinbucket.objects.all():
print(bucket.name, obj.key)

50. importboto3
# Download a file
bucket =s3.Bucket('Boto3')
obj=bucket.Object('output.mp4')
data =obj.get()['Body'].read()

52. importboto3
# Create SNS topic (idempotent)
sns=boto3.resource('sns')
topic =sns.create_topic(Name='Boto3')
# Get an SNS topic
topic =sns.Topic('<TOPIC ARN>')

53. # Create an SQS queue (idempotent)
sqs=boto3.resource('sqs')
queue =sqs.create_queue(QueueName='Boto3')
# Get an existing queue
queue =sqs.get_queue_by_name(QueueName='Boto3')

54. # Subscribe an SQS queue to the topic
topic.subscribe(
Protocol='sqs',
Endpoint=queue.attributes['QueueArn'])

56. importboto3
# Create IAM role
iam=boto3.resource('iam')
role =iam.create_role(
RoleName='role-name',
AssumeRolePolicyDocument='...')

57. # Set role policy
policy =role.RolePolicy('transcoder')
policy.put(PolicyDocument={
'Version': '2012-10-17',
'Statement':[
{...}
]
})

59. # Create a new pipeline
transcoder =boto3.client('elastictranscoder')
response =transcoder.create_pipeline(
Name='Boto3',
InputBucket='Boto3-input',
OutputBucket='Boto3-output',
Role='<ROLE ARN>',
...
)

60. # Create a new transcoding job
job =transcoder.create_job(
PipelineId=response['Pipeline']['Id'],
Input={
'Key': 'input.mov',
...
},
Outputs={...}
)

62. https://github.com/boto/boto3-sample

64. BotoProject Overview
Boto3 Features
Project Example

65. https://github.com/boto/boto3
https://github.com/boto/boto3-sample

66. Please give us your feedback on this session.
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