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Preface

In general, AWS services can be accessed using

1. AWS web interface,
2. API libraries in a programming language, such as boto3 for Python 3,
3. AWS command-line interface, i.e. awscli.

I opted for the API library since it is

spenfraz

Preface

This article walks you through an example of deploying a Python 3.6 application that uses Pandas and AWS S3 on AWS Lambda using Boto3 in Python in 2018. No shell, no bash, no web console, everything is automated in Python. The previous article of a Hello World example can be found here.

Again, the reason to use Python Boto3 to interact with AWS is that,

1. I'm more familiar with Python than Bash, which means a Python script can be more flexible and powerful than Bash for me.
2. I'm not a fun of the AWS web console. It might be easier to do certain things, but it is definitely not automated.

Introduction

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Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

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Table of Contents

• 0.1. References
• 0.2. Other cheatsheets
• 0.3. Manage multiple gcloud config configurations
  • 0.3.1. Switch gcloud context with gcloud config
• 0.4. Auth
• 0.5. info

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Resources

• Ally's GCP Quiz
• GCP Certification Quiz
• Google Developers Codelabs
• Cloudreach Blog - Passing the exam after an initial failure
• GCP Enterprise Best Practices
• GCP Designing a Disaster Recovery Plan
• GCP Example Solutions
• Mobile Gaming Analysis Telemetry