March 2025
Intermediate to advanced
352 pages
9h 30m
Portuguese (Portugal, Brazil)
Content preview from APIs práticas para IA e ciência de dados
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Parte I. Criar APIs para a ciência dos dados
A Parte I deste livro acompanha-te passo a passo através de projectos de exemplo para construir APIs utilizando Python e FastAPI e implementá-las na Cloud:
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No Capítulo 1, começarás o teu projeto de portfólio compreendendo as necessidades dos utilizadores e selecionando os casos de utilização a preencher.
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No Capítulo 2, seleciona uma arquitetura de API e começa a criar uma API para satisfazer as necessidades dos cientistas de dados.
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No Capítulo 3, vais criar a tua base de dados usando SQLite, criar código Python para ler a base de dados com SQLAlchemy e realizar testes unitários com Pytest.
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No Capítulo 4, criarás o código FastAPI para utilizar estes dados e publicá-los como uma API REST.
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No Capítulo 5, documentarás a tua API utilizando as capacidades integradas da FastAPI.
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No Capítulo 6, vais implementar a tua API na Cloud utilizando o Render e o Amazon Web Services (AWS).
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No Capítulo 7, irás criar um kit de desenvolvimento de software (SDK) para tornar a tua API mais fácil de utilizar pelos programadores Python.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.