Software Alternatives, Accelerators & Startups

SST VS Think Python

Compare SST VS Think Python and see what are their differences

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SST logo SST

Work on your serverless apps live

Think Python logo Think Python

Learning Resources
  • SST Landing page
    Landing page //
    2023-08-27
  • Think Python Landing page
    Landing page //
    2023-09-24

SST features and specs

  • Ease of Use
    SST is designed to simplify the process of building serverless applications, providing developers with higher-level abstractions and tools that streamline development.
  • Integration with AWS
    SST is well-integrated with AWS services, allowing developers to leverage the full power of AWS infrastructure while maintaining a focus on serverless architecture.
  • Live Lambda Development
    SST supports live Lambda development, enabling developers to make real-time changes and see them reflected immediately without the need for lengthy deployment processes.
  • Infrastructure as Code
    With SST, developers can define their infrastructure programmatically, which promotes version control, scalability, and collaboration among team members.
  • Flexibility
    SST provides flexibility to developers, allowing them to use popular libraries and frameworks alongside serverless components, thus accommodating various use cases.

Possible disadvantages of SST

  • Learning Curve
    Developers unfamiliar with SST and its abstractions may face a learning curve in understanding how to effectively use the toolkit and take full advantage of its features.
  • AWS Lock-in
    As SST is tightly integrated with AWS services, it can lead to vendor lock-in, making it challenging for organizations to switch to other cloud providers in the future.
  • Complexity for Small Projects
    For smaller projects, the overhead introduced by SST's abstractions and tooling might be unnecessary, adding complexity without significant benefits.
  • Dependency on Community Support
    SST relies on community support for maintenance and feature development, which could pose a risk if the community's interest wanes or if support does not keep pace with AWS innovations.

Think Python features and specs

  • Accessible for Beginners
    Think Python is written in a clear and approachable style, making it suitable for beginners with no prior programming experience. The author takes care to explain concepts thoroughly, making it easy to follow.
  • Practical Examples
    The book is filled with practical examples that demonstrate how to use Python for various applications. This approach helps readers understand real-world usage of the language.
  • Free Availability
    Think Python is openly accessible in digital format for free, making it easy for anyone to read without financial barriers, supporting open education.
  • Emphasis on Problem Solving
    The book places strong emphasis on teaching readers how to think like programmers, encouraging problem-solving and logical thinking skills.

Possible disadvantages of Think Python

  • Limited Depth
    While suitable for beginners, the book doesnโ€™t delve deeply into advanced features of Python, which might leave learners needing additional resources for more complex topics.
  • Pacing
    Some readers might find the pacing of the book too slow, particularly if they have some prior programming experience, as it aims to accommodate complete beginners.
  • Lack of Exercises
    There are fewer exercises compared to some other programming books, potentially providing less practice for readers to reinforce their learning.
  • Outdated Information
    Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages. Readers may need to verify with more recent sources.

SST videos

Performix sst review fat burner

More videos:

  • Review - Hornady 129gr SST Recovered Bullet Review: 6.5 Creedmoor Deer Load ๐ŸฆŒ
  • Review - SST Energy Seltzer Review; The Energy Drink by Performix.

Think Python videos

Thoughts on Think Python From a Beginner Programmer

More videos:

Category Popularity

0-100% (relative to SST and Think Python)
Developer Tools
100 100%
0% 0
Online Learning
0 0%
100% 100
Open Source
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, SST should be more popular than Think Python. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SST mentions (31)

  • Best/low maintenance devops toolchain for basic sass?
    After researching all night, https://github.com/serverless-stack/sst seems like a good trade off between flexibility, simplicity and features. Source: over 3 years ago
  • Dynamodb design with Appsync
    I use https://github.com/serverless-stack/serverless-stack โ€” not the serverless project. This one is far better. Source: over 4 years ago
  • A magical AWS serverless developer experience
    That said: SST is open source, so you could maybe somehow reimplement their debug stack which is the websockets magic + the Lambda shim in terraform to get it working... Source: over 4 years ago
  • Anti-Patterns to Avoid in Lambda Based Apps
    If you are using CDK then check out SST: https://github.com/serverless-stack/serverless-stack It's based on CDK and has a great local development environment for Lambda. It allows you to set breakpoints and test it locally: https://serverless-stack.com/examples/how-to-debug-lambda-functions-with-visual-studio-code.html. - Source: Hacker News / over 4 years ago
  • Introducing Serverless Cloud: AWS Serverless Power for Back-Endsโ€”Without the Complexity
    I'll just plug what we built, SST: https://github.com/serverless-stack/serverless-stack. Source: over 4 years ago
View more

Think Python mentions (9)

  • C949 help and Jay Wengrow's Guide to Data Structures
    This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one - https://scrimba.com/learn/python. Source: about 3 years ago
  • Best place to learn and practice python?
    Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: about 3 years ago
  • Good places to start learning python?
    This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: about 4 years ago
  • Which books should I read to learn computer science with python language?
    In terms of learning the basics of Python programming, you can get the first edition of Think Python in PDF form for free. Source: over 4 years ago
  • Observations and thoughts from a long time crypto nerd
    Computer Science โ€” For understanding software development. As for a programming language to learn, I recommend Python or Javascript. Try Crash Course's Computer Science videos, the free Think Python book, and/or Part 1 of The Modern JavaScript Tutorial. Source: over 4 years ago
View more

What are some alternatives?

When comparing SST and Think Python, you can also consider the following products

Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket

Google's Python Class - Assorted educational materials provided by Google.

Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.

The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Coolify - An open-source, hassle-free, self-hostable Heroku & Netlify alternative.

A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.