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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Capítulo 10. Compartilhando seu código: Controle de Versão, Dependências e Empacotamento
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Partilhar o teu código e colaborar com outros é extremamente importante para o teu sucesso na ciência dos dados. Podes juntar-te a um projeto existente que tenha uma grande base de código. Podes começar por trabalhar no teu código de forma isolada, mas à medida que o teu projeto cresce, podes querer partilhá-lo com outros para que não tenham de resolver os mesmos problemas. Ou podes contribuir para projectos de código aberto.
Se estiveres a partilhar o teu código publicamente, como um projeto de código aberto, isso permite-te juntar-te a uma comunidade. As bibliotecas de código aberto Python são um enorme ecossistema e a ciência de dados seria muito mais difícil sem o pandas, o NumPy, o scikit-learn, o Matplotlib e muitos outros.
Quer estejas a contribuir para projectos de código aberto ou a colaborar com colegas de equipa na tua empresa, terás de conhecer algumas ferramentas e técnicas que facilitam o trabalho de várias pessoas no mesmo código. As ferramentas podem variar, mas muitos dos princípios são padrão.
Neste capítulo, abordarei estas ferramentas e técnicas que te ajudarão a colaborar com outros programadores. Primeiro, o controlo de versões é importante porque é a forma padrão de colaborar numa base de código. Em segundo lugar, abordarei ferramentas para gerir as ...
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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.