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portada Intro to Python for Computer Science and Data Science: Learning to Program With ai, big Data and the Cloud (en Inglés)
Formato
Libro Físico
Editorial
Año
2019
Idioma
Inglés
N° páginas
880
Encuadernación
Tapa Blanda
ISBN13
9780135404676
N° edición
1

Intro to Python for Computer Science and Data Science: Learning to Program With ai, big Data and the Cloud (en Inglés)

Paul J. Deitel; Harvey Deitel (Autor) · Pearson · Tapa Blanda

Intro to Python for Computer Science and Data Science: Learning to Program With ai, big Data and the Cloud (en Inglés) - Paul J. Deitel; Harvey Deitel

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Reseña del libro "Intro to Python for Computer Science and Data Science: Learning to Program With ai, big Data and the Cloud (en Inglés)"

 For introductory-level Python programming and/or data-science courses.   A groundbreaking, flexible approach to computer science and data science The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science.   The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.  

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