March 2025
Intermediate to advanced
260 pages
6h 51m
Portuguese (Portugal, Brazil)
Content preview from Engenharia de software para cientistas de dados
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Prefácio
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A ciência dos dados é feita em código. Quer estejas a construir um sistema de aprendizagem automática, a explorar os teus dados pela primeira vez, a visualizar a distribuição dos teus dados ou a executar uma análise estatística, as tuas competências de codificação e computação são o que faz com que isso aconteça. Se estiveres a trabalhar em código de produção, estas competências são essenciais para escrever código bem sucedido e de fácil manutenção. Mesmo que não estejas a trabalhar numa equipa de software de produção, vais achar benéfico escrever código mais robusto e reproduzível que outros cientistas de dados possam utilizar facilmente. E se estiveres a trabalhar sozinho, as boas práticas irão acelerar a tua codificação e ajudar-te a retomar o teu código após uma pausa.
Nem sempre vi o valor de uma boa engenharia. No início da minha carreira de cientista de dados, juntei-me a uma equipa em que era o único cientista de dados. Os meus colegas de equipa eram engenheiros de software e designers, e eu receava que fosse difícil aumentar as minhas competências técnicas sem outros cientistas de dados com quem aprender. Expressei a minha preocupação ao meu colega de trabalho, um programador. Ele respondeu: "Mas aprender a escrever melhor código vai permitir-te fazer mais ciência de dados." Este comentário ficou-me na memória e, desde então, descobri que melhorar ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.