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You're reading from  Learn Python by Building Data Science Applications

Product typeBook
Published inAug 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789535365
Edition1st Edition
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Authors (2):
Philipp Kats
Philipp Kats
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Philipp Kats

Philipp Kats is a researcher at the Urban Complexity Lab, NYU CUSP, a research fellow at Kazan Federal University, and a data scientist at StreetEasy, with many years of experience in software development. His interests include data analysis, urban studies, data journalism, and visualization. Having a bachelor's degree in architectural design and a having followed the rocky path (at first) of being a self-taught developer, Philipp knows the pain points of learning programming and is eager to share his experience.
Read more about Philipp Kats

David Katz
David Katz
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David Katz

David Katz is a researcher and holds a Ph.D. in mathematics. As a mathematician at heart, he sees code as a tool to express his questions. David believes that code literacy is essential as it applies to most disciplines and professions. David is passionate about sharing his knowledge and has 6 years of experience teaching college and high school students.
Read more about David Katz

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Getting started with Chalice

Let's try replicating the API endpoint we did for 311 in the previous chapter as a serverless application. For that, we'll use a framework called Chalice.

Chalice is a Python package for serverless applications on AWS, and is itself developed by Amazon. It can take care of an application, from its template all the way to deployment. It's also great for testing, as it emulates deployment with no fee, authentication, or even internet connection required.

Before we start working on our serverless application, let's ask Chalice to generate a template. In your terminal, type this:

chalice new-project

After this, type the name of the project: 311estimate. This will generate a new folder with a few files:

311estimate/
|
├── .chalice/
│   └── config.json
|
├── .gitignore...
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Learn Python by Building Data Science Applications
Published in: Aug 2019Publisher: PacktISBN-13: 9781789535365

Authors (2)

author image
Philipp Kats

Philipp Kats is a researcher at the Urban Complexity Lab, NYU CUSP, a research fellow at Kazan Federal University, and a data scientist at StreetEasy, with many years of experience in software development. His interests include data analysis, urban studies, data journalism, and visualization. Having a bachelor's degree in architectural design and a having followed the rocky path (at first) of being a self-taught developer, Philipp knows the pain points of learning programming and is eager to share his experience.
Read more about Philipp Kats

author image
David Katz

David Katz is a researcher and holds a Ph.D. in mathematics. As a mathematician at heart, he sees code as a tool to express his questions. David believes that code literacy is essential as it applies to most disciplines and professions. David is passionate about sharing his knowledge and has 6 years of experience teaching college and high school students.
Read more about David Katz