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Learn Python by Building Data Science Applications

You're reading from   Learn Python by Building Data Science Applications A fun, project-based guide to learning Python 3 while building real-world apps

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789535365
Length 482 pages
Edition 1st Edition
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Authors (2):
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Philipp Kats Philipp Kats
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Philipp Kats
David Katz David Katz
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David Katz
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Table of Contents (26) Chapters Close

Preface 1. Section 1: Getting Started with Python
2. Preparing the Workspace FREE CHAPTER 3. First Steps in Coding - Variables and Data Types 4. Functions 5. Data Structures 6. Loops and Other Compound Statements 7. First Script – Geocoding with Web APIs 8. Scraping Data from the Web with Beautiful Soup 4 9. Simulation with Classes and Inheritance 10. Shell, Git, Conda, and More – at Your Command 11. Section 2: Hands-On with Data
12. Python for Data Applications 13. Data Cleaning and Manipulation 14. Data Exploration and Visualization 15. Training a Machine Learning Model 16. Improving Your Model – Pipelines and Experiments 17. Section 3: Moving to Production
18. Packaging and Testing with Poetry and PyTest 19. Data Pipelines with Luigi 20. Let's Build a Dashboard 21. Serving Models with a RESTful API 22. Serverless API Using Chalice 23. Best Practices and Python Performance 24. Assessments 25. Other Books You May Enjoy

Chapter 19

What does a serverless application mean?

Serverless applications still run on normal servers, but control over the server's behavior and the stack are completely handled by the cloud provider—all that's required from the developer is to write a function that describes the business logic. This function can be set to trigger on a request to a certain API endpoint, on a certain event (for example, a file addition to the S3 bucket), or on a scheduler so that it runs every day.

What are the limitations of the serverless approach?

Serverless applications are mainly bound by the memory they can use and, therefore, the packages that can be installed. For AWS Lambda, the limit is 50 MB.

What are the benefits of serverless APIs?

Serverless APIs have quite a few benefits. First and foremost, you don't need to spend time on the development and maintenance...

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