Using AWS S3 with Python
Using AWS S3 with Python, available at Free, has an average rating of 4.5, with 13 lectures, based on 110 reviews, and has 8982 subscribers.
You will learn about 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 This course is ideal for individuals who are Beginner Python Developers or Data Analysts or Data Scientists or Business Intelligence Users It is particularly useful for Beginner Python Developers or Data Analysts or Data Scientists or Business Intelligence Users.
Enroll now: Using AWS S3 with Python
Summary
Title: Using AWS S3 with Python
Price: Free
Average Rating: 4.5
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: Free
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Beginner Python Developers
- Data Analysts
- Data Scientists
- Business Intelligence Users
Target Audiences
- Beginner Python Developers
- Data Analysts
- Data Scientists
- Business Intelligence Users
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:
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Introduce you to what S3 is
-
Familiarize you with the AWS Console so you can:
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Set up groups, users and credentials
-
Interface with S3
-
-
Show you how to do the following in S3 with Python
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Create Buckets
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Upload files
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Download files
-
Delete files
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Delete Bucket
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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:
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Have working knowledge of Python
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Have a Python environment that you can use to work along with the examples
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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!
Course Curriculum
Chapter 1: Introduction to S3
Lecture 1: Introduction
Chapter 2: AWS Console
Lecture 1: Prerequisites and AWS Account
Lecture 2: Create User Group and Account Credentials
Lecture 3: Setup local authentication
Lecture 4: Using your AWS Console to work with S3
Chapter 3: Python and S3
Lecture 1: Connect to S3 with Python
Lecture 2: Upload file to S3 using Python
Lecture 3: Create an S3 Bucket using Python
Lecture 4: Create an S3 folder using Python
Lecture 5: Download a file from S3 using Python
Lecture 6: Delete a file from S3 using Python
Lecture 7: Delete a Bucket from S3 using Python
Chapter 4: Course Completed
Lecture 1: Thank you!
Instructors
-
Oscar Valles
Analytics and Business Intelligence Professional
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 11 votes
- 4 stars: 33 votes
- 5 stars: 64 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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