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Mohammed Murtuza Qureshi

In this project, we will look at how to work with the AWS S3, which is Amazon’s File Storage System, programmatically using AWS’s SDK in Python, boto3.

We will first look at how to create and modify AWS S3 Buckets using boto3. We will then look at how to create an S3 Bucket, how to download and upload different types of files to S3. We will then look at how to use Multi-part Transfer to upload large files. We will then move on to how to create Pre-signed URLS to provide temporary Access to users.

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In this project, we will look at how to work with the AWS S3, which is Amazon’s File Storage System, programmatically using AWS’s SDK in Python, boto3.

We will first look at how to create and modify AWS S3 Buckets using boto3. We will then look at how to create an S3 Bucket, how to download and upload different types of files to S3. We will then look at how to use Multi-part Transfer to upload large files. We will then move on to how to create Pre-signed URLS to provide temporary Access to users.

We will then learn how to configure bucket policies. And finally look at how to setup CORS (Cross-Origin Resource Sharing) which enables client web applications to access our S3 bucket.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops foundational skills for working programmatically with AWS's S3 service in Python
Taught by a recognized instructor in the field
Emphasizes practical application of skills through hands-on exercises
Provides a comprehensive overview of core AWS S3 concepts and functionalities
Relies on a somewhat outdated version of the software, which may limit its relevance in certain industry contexts
May require learners to have prior experience with Python programming

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Reviews summary

Practical aws s3 with python & boto3

According to learners, this course offers a largely positive experience for programmatically interacting with AWS S3 buckets using Python and boto3. Students frequently commend the instructor's clear explanations and the hands-on labs and practical projects, noting they provide a solid foundational understanding of S3 operations. While some earlier reviews highlighted issues with outdated code or initial environment setup, more recent feedback indicates the content is now up-to-date. It is widely considered highly beneficial for beginners to AWS and Python, though some experienced users might find the coverage to be basic. The course's functionality is optimized for learners in the North America region, which is an important consideration.
Course is primarily optimized for learners in the North America region.
"The NA region note is also important, as I faced latency outside."
"This course works best for learners who are based in the North America region."
"I did face some issues with the environment setup, which took a while to debug, likely due to my region."
Ideal for beginners, but may be too basic for experienced users.
"I had very little prior AWS experience and found it easy to follow. Highly recommend for anyone looking to get started."
"The course covers the basics well, but... it felt a bit too basic for someone with existing Python knowledge. It's a good start for absolute beginners though."
"Perfect for beginners. I knew Python but little about AWS. This course smoothly guided me through S3 concepts and how to interact using boto3."
Instructor explains concepts clearly and concisely.
"The instructor explained everything clearly and the hands-on labs were super helpful."
"Excellent course! Very concise and straight to the point. The instructor's voice is clear and the demos worked perfectly."
"Excellent, well-structured, and easy to follow. The project-based approach is great."
Focuses on practical, real-world S3 operations.
"This course was a fantastic introduction to AWS S3... The hands-on labs were super helpful."
"Good practical guide to S3 operations. I particularly liked the multi-part upload section."
"Very hands-on and practical. I appreciated the focus on real-world use cases like CORS and bucket policies. It really helped solidify my understanding."
Recent improvements address prior issues with outdated code.
"Good practical guide to S3 operations. The content is up-to-date with boto3."
"The course content is okay, but I faced several issues with outdated dependencies for boto3. Some code examples didn't run without modifications. It needs an update..."
"Highly disappointed. The code provided is outdated, and I spent more time fixing errors than learning. This course desperately needs an update."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Working with AWS S3 Buckets using Python & boto3 with these activities:
Follow the Official AWS Tutorial for S3
This course uses the boto3 library to interact with AWS S3. Following the official AWS tutorial will help provide a solid foundation for using this library.
Browse courses on AWS S3
Show steps
  • Go to the official AWS documentation for the Python SDK.
  • Locate the tutorial for S3.
  • Follow the tutorial.
Follow the Official Tutorial for Boto3
This course uses the boto3 library to interact with AWS S3. Following the official tutorial will help provide a solid foundation for using this library.
Browse courses on Boto3
Show steps
  • Go to the official boto3 documentation.
  • Locate the tutorial for boto3.
  • Follow the tutorial.
Complete the Course Practice Exercises
The course includes a number of practice exercises. Completing these exercises will help reinforce the concepts taught in the course.
Browse courses on S3
Show steps
  • Review the course material.
  • Complete the practice exercises.
  • Review your answers.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read Software Engineering at Google
Reading about real-world software engineering practices from one of the top tech companies in the world can help provide context for this course and confirm the industry relevance of the principles taught.
Show steps
  • Acquire a copy of the book.
  • Read the book thoroughly.
Solve LeetCode Problems on S3
LeetCode is a popular platform for practicing coding problems. Solving problems related to S3 will help reinforce the concepts taught in this course.
Browse courses on S3
Show steps
  • Create a LeetCode account.
  • Search for problems related to S3.
  • Solve the problems.
Read Amazon Web Services in Action
This book provides a comprehensive overview of AWS services, including S3. Reading this book will help you gain a deeper understanding of the AWS ecosystem and how S3 fits into it.
Show steps
  • Acquire a copy of the book.
  • Read the book thoroughly.
Write a Blog Post about S3
Writing a blog post about S3 will help you solidify your understanding of the concepts taught in this course. It will also force you to think about how to explain these concepts to others.
Browse courses on S3
Show steps
  • Choose a topic to write about.
  • Research the topic.
  • Write the blog post.
  • Publish the blog post.
Build a Personal Media Storage App
Building a personal media storage app will allow you to apply the concepts learned in this course to a real-world project.
Browse courses on S3
Show steps
  • Design the app's architecture.
  • Write the front-end code.
  • Write the back-end code.
  • Deploy the app.

Career center

Learners who complete Working with AWS S3 Buckets using Python & boto3 will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, clean, and analyze large datasets to identify trends and patterns. This course provides a solid foundation in working with AWS S3 Buckets, which is essential for storing and managing large datasets. By learning how to create and modify S3 Buckets, upload and download files, and configure bucket policies, learners can gain the skills necessary to support Data Analysts in their work.
Data Engineer
Data Engineers design, build, and maintain data pipelines and systems. This course provides valuable hands-on experience in working with AWS S3 Buckets, which is a critical component of many data pipelines. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Data Engineers in their work.
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course provides a foundation in working with AWS S3 Buckets, which is a fundamental component of cloud storage. By learning how to create and manage S3 Buckets, upload and download files, and configure bucket policies, learners can gain the skills necessary to support Cloud Architects in their work.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course provides hands-on experience in working with AWS S3 Buckets, which is a common storage solution for web applications. By learning how to create and manage S3 Buckets, upload and download files, and configure bucket policies, learners can gain the skills necessary to support Software Engineers in their work.
Data Scientist
Data Scientists use data to solve business problems. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for large datasets. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Data Scientists in their work.
Business Analyst
Business Analysts use data to understand business needs and make recommendations for improvements. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for large datasets. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Business Analysts in their work.
Project Manager
Project Managers plan and manage projects. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for project data. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Project Managers in their work.
Database Administrator
Database Administrators manage and maintain databases. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for database backups. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Database Administrators in their work.
Security Analyst
Security Analysts identify and mitigate security risks. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for sensitive data. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Security Analysts in their work.
Network Administrator
Network Administrators manage and maintain computer networks. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for network traffic data. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Network Administrators in their work.
Systems Administrator
Systems Administrators manage and maintain computer systems. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for system logs and data. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Systems Administrators in their work.
Storage Administrator
Storage Administrators manage and maintain storage systems. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for large datasets. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Storage Administrators in their work.
IT Manager
IT Managers oversee all aspects of IT operations. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for enterprise data. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support IT Managers in their work.
Cloud Computing Specialist
Cloud Computing Specialists design and implement cloud computing solutions. This course provides a foundation in working with AWS S3 Buckets, which is a fundamental component of cloud storage. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Cloud Computing Specialists in their work.
Data Management Specialist
Data Management Specialists manage and maintain data. This course provides a foundation in working with AWS S3 Buckets, which is a common storage solution for large datasets. By learning how to create and manage S3 Buckets, upload and download data, and configure bucket policies, learners can gain the skills necessary to support Data Management Specialists in their work.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Working with AWS S3 Buckets using Python & boto3.
Provides a detailed overview of AWS services, including S3 buckets. It valuable resource for anyone who wants to learn more about AWS.
Provides a comprehensive overview of cloud computing, including a chapter on AWS S3. It valuable resource for individuals who are new to cloud computing or who want to learn more about S3.
Provides a detailed overview of serverless architectures on AWS. It covers the basics of serverless computing, as well as how to use AWS services to build serverless applications.
Provides a detailed overview of how to build microservices on AWS. It covers the basics of microservices, as well as how to use AWS services to build and deploy microservices applications.
Provides a comprehensive overview of data science using Python. It includes a chapter on working with AWS S3.
Provides a practical guide to cloud computing. It includes a section on how to use S3 buckets for cloud storage.
Provides a comprehensive overview of big data analytics using Java. It includes a chapter on how to use Java to work with AWS S3.
Provides a comprehensive overview of Spark. It includes a chapter on how to use Spark to work with AWS S3.

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