How to Use AWS S3 with Python
Channel: zData
Date: 2022-10-14

In this tutorial, you'll learn how to work with S3 and Python. Using AWS S3 with Python
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This course is aimed at users who are needing to use S3 as part of their overall solution and are needing to quickly learn what S3 is, what it is for and how to use it. Common users of this course include but not limited to data analysts, business intelligence users and data scientists.

This can also serve as an introductory course to engineers, however the focus is not around security and access management or bucket policies.

If you are new to S3 and are curious about using Python to interact with S3, then this is the course for you.

This course aims to:

        Introduce you to what S3 is

        Familiarize you with the AWS Console so you can:
            Set up groups, users and credentials
            Interface with S3

        Show you how to do the following in S3 with Python:
            Create Buckets
            Upload files
            Download files
            Delete files
            Delete Bucket

After this course you should feel confident in using Python to manage your S3 content.

Note: In order to get the most out of this course, you will want to:
        Have working knowledge of Python
        Have a Python environment that you can use to work along with the examples
        Have an IDE or good Text Editor (e.g. VS Code, Pycharm, Atom)


Lastly, this is a condensed course and my desire is that you can learn what you need over the weekend and feel confident enough to take your new skills to work the next day!

What you’ll learn

        Introduction to S3 technology
        Learn the AWS Console
        Setup authentication to work with AWS
        Work with S3 using Python
        Create and manage S3 content using Python

Are there any course requirements or prerequisites?

        Some Python knowledge
        Computer and Internet Connection
        AWS Account
        IDE or Text Editor such as Atom

Who this course is for:

        Beginner Python Developers
        Data Analysts
        Data Scientists
        Business Intelligence Users

#AWS #Python #Morioh

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