Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition
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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition
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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition
Nº de artículo: 142533286

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition

90% of respondents would recommend this to a friend

Nº de artículo: 142533286

ARS 229724

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What Stands Out

AI Integration
Seamlessly integrates AI concepts, enabling students to understand data manipulation and machine learning applications in a practical context for both computer science and data science realms.
Cloud Computing Focus
Emphasizes cloud technologies, making it easier for learners to deploy applications and analyze big data sets, which reflects current industry standards and practices in technology.
Hands-On Approach
Offers practical projects and exercises tailored to enhance programming skills, providing learners with real-world scenarios that bridge theory and application in programming with Python.

Detalles de producto

Shop Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition online at a best price in Argentina. 1292364904
Publisher Pearson
Publication date 17 Sept. 2021
Edition 1st
Language English
Print length 880 pages
ISBN-10 1292364904
ISBN-13 978-1292364902
Item weight 1.28 kg
Dimensions 17.9 x 3 x 23.2 cm

Who Should Buy?

Suitable For
  • Beginner Programmers

    Ideal for those new to programming, covering Python fundamentals with a focus on AI and data science applications.

  • Data Science Students

    Great for students pursuing data science, providing practical programming skills alongside big data and cloud concepts.

  • AI Enthusiasts

    Useful for individuals interested in artificial intelligence, integrating programming practices in Python with AI project applications.

Not Suitable For
  • Advanced Programmers

    Not suitable for experienced programmers seeking advanced Python techniques or in-depth algorithm discussions on complex topics.

DESCRIPCIÓN DEL PRODUCTO

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition

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Data Warehousing Editorial Review

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition offers a comprehensive introduction to Python programming, particularly focused on AI and data science. With a print length of 880 pages and published by Pearson, this first edition provides not only theoretical knowledge but also a multitude of exercises that help solidify the concepts learned. Users appreciate the clear and concise explanations provided by the author, Paul Deitel, which are beneficial for learners of all levels. While it does not delve deeply into complex mathematics, it emphasizes practical applications, making it ideal for beginners while challenging enough for those with some programming experience. This book also includes digital resources for 12 months, further enhancing the learning experience.

Customer Reviews & Ratings

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ventajas

  • Comprehensive introduction to Python programming
  • Includes numerous exercises for practical learning
  • Clear explanations suitable for beginners
  • Focuses on practical applications in AI and data science
  • Digital resources available for one year
  • Well-structured content that builds foundational knowledge

Contras

  • May not address complex math for advanced users

Product Price History

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características y beneficios

  • Offers a wide range of learning products for all levels.
  • Features contributions from renowned authors and industry leaders.
  • Includes project-based learning resources for practical skills.
  • Partnerships with major technology companies like Cisco and Microsoft.
  • Covers topics in computer science, data science, and professional development.
  • Utilizes real-world datasets and AI technologies for hands-on experience.

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