Data science and machine learning--two of the world's hottest fields--are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once you've learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more--all created with Colab (Jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software.
Procurando Foundational Python for Data Science? Aqui você encontra tudo sobre este livro de Kennedy Behrman, publicado por Pearson em 7 de outubro de 2021. Nesta página estão a descrição da obra, os detalhes da edição (256 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Livros Internacionais, Computação, Informática e Mídias Digitais, Programação, Python, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de Kennedy Behrman em nosso catálogo.
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