The word "serverless" might be somewhat misleading—serverless applications still do run on servers. There is a major difference is responsibility zones, though. With serverless, we don't rent computers and deploy our own APIs; instead, we send Python (or JavaScript, or Go, or whatever else) functions, along with our requirements, to a provider (which could be Amazon Web Services (AWS), Google Cloud Platform, or something else), and they execute those functions on their servers when triggered to do so. We don't need to think about configuring servers, turning them on and off, or scaling—the functions we trigger will work when needed on the scale that is needed (the providers will add computers, if required, behind the scenes). The best part? We'll only pay for the fact of execution—if a function wasn't...
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You're reading from Learn Python by Building Data Science Applications
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 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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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 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