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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
Languages
Python
Tools
Pygame
Concepts
Application Development
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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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Technical requirements

In this chapter, we'll use the following libraries:

  • FastAPI
  • pydantic
  • uvicorn
  • locust

Make sure to install them, if you haven't done so already. To test our API, we'll use the curl command-line tool. On Windows, you can install curl or use the built-in Invoke-Webrequest tool, aliased to wget.

Alternatively, you can use Postman, https://www.getpostman.com, a standalone and free application for testing and exploring web APIs with a nice graphical interface. To install Postman, go to the website and hit Get Started, then select Download. Postman has versions for Windows and Linux. Its interface is quite clean and easy to learn, so we won't cover it here.

All of the code is available in the GitHub repository, in the Chapter18 folder (https://github.com/PacktPublishing/Learn-Python-by-Building-Data-Science-Applications).

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Learn Python by Building Data Science Applications
Published in: Aug 2019Publisher: PacktISBN-13: 9781789535365
© 2019 Packt Publishing Limited All Rights Reserved

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

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