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Python for Programmers: with Big Data and Artificial Intelligence Case Studies
A great introduction to Python programming with a wide range of contemporary data science topics and code examples. It covers both machine learning and big data concepts, along with cloud computing and deep learning. Engaging, practical and accessible.
Python for Programmers: with Big Data and Artificial Intelligence Case Studies
Item #: 20441194

Python for Programmers: with Big Data and Artificial Intelligence Case Studies

Item #: 20441194

NZD 105

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A great introduction to Python programming with a wide range of contemporary data science topics and code examples. It covers both machine learning and big data concepts, along with cloud computing and deep learning. Engaging, practical and accessible.
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What Stands Out

Practical Case Studies
Offers real-world applications in Big Data and AI, enabling programmers to grasp complex concepts through engaging case studies that enhance learning and retention.
Focus on Programmers
Tailored specifically for programmers, this book bridges the gap between Python programming and advanced technologies, making complex topics accessible and understandable.
Comprehensive Coverage
Covers foundational Python concepts as well as advanced big data and AI topics, providing a holistic learning experience that empowers readers to tackle modern challenges in technology.

Product Details

Learn Python, Big Data, AI & machine learning with practical case studies. Access the companion Jupyter notebooks to explore contemporary data science topics. Buy now on Ubuy New Zealand Global, the best online store!
  • Written for programmers with a background in another high-level language
  • Uses hands-on instruction to teach leading-edge computing technologies and programming in Python
  • Includes 500+ real-world examples and case studies
  • Covers topics such as natural language processing, data mining, supervised and unsupervised machine learning, deep learning, big data, and the Internet of Things
  • Utilizes Python Standard Library and data science libraries
  • Features open-source libraries such as NumPy, pandas, Matplotlib, scikit-learn, and Keras
Publisher Pearson
Publication date March 22, 2019
Language English
Print length 640 pages
ISBN-10 0135224330
ISBN-13 978-0135224335
Item Weight 2.14 pounds (970 grams)
Dimensions 7 x 1.25 x 9.1 inches (17.8 x 3.2 x 23.1 cm)
Part of series Deitel Developer Series

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for those looking to apply Python in data science, analytics, and big data contexts effectively.

  • Intermediate Developers

    Beneficial for programmers with basic Python knowledge seeking to deepen their understanding through practical examples.

  • AI Enthusiasts

    Great for learners interested in artificial intelligence, providing case studies to enhance comprehension and skills.

Not Suitable For
  • Beginners

    Not suitable for absolute beginners as it assumes prior programming knowledge and familiarity with Python concepts.

Product Description

Python for Programmers: with Big Data and Artificial Intelligence Case Studies

About This Item

Get ready to take your programming skills to the next level with Python for Programmers: with Big Data and Artificial Intelligence Case Studies. This comprehensive book is designed for readers of all backgrounds, providing a fantastic resource for both beginners and experienced programmers. One of the standout features of this book is its modular structure, which allows for easy navigation and understanding. Each chapter is clearly written with detailed explanations of the example code, ensuring that you can follow along and grasp the concepts with ease. The authors cover a wide range of contemporary data science topics, including Big Data, Artificial Intelligence, and Machine Learning.

They provide practical case studies, such as the California housing data example, which is highly relevant for business analytics. These real-world examples make it easier for you to apply your newfound knowledge to your own projects. In addition to the comprehensive coverage of data science topics, this book also delves into object-oriented programming in Python. The authors provide a comprehensive overview, complete with card image graphics that engage the reader. Another highlight of this book is the inclusion of code in companion Jupyter notebooks.

This allows you to practice and experiment with the concepts as you learn, providing an instant reward for your efforts. The later examples even feature visual elements and animations, making the learning experience even more engaging. Whether you're a student, a professional, or a curious beginner, Python for Programmers: with Big Data and Artificial Intelligence Case Studies has something to offer everyone. From Python syntax approaches to community standards for style and documentation, this book covers it all. Don't miss out on this highly accessible book that will foster curiosity and motivate you to develop essential foundations in Python programming, statistics, data manipulation, cloud computing, and more.

With its engaging content and practical case studies, you'll be well-equipped to tackle the challenges of data science and programming. Unlock the power of Python and embark on a journey to become a proficient programmer. Order Python for Programmers: with Big Data and Artificial Intelligence Case Studies today and take your skills to new heights.

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Product Buying Guide

Python for Programmers: with Big Data and Artificial Intelligence Case Studies is the ultimate guide for professional programmers with a background in another high-level language. This book provides hands-on instruction and uses real-world examples to teach programming in Python, one of the most popular and fastest-growing languages in the world. With a focus on data science and artificial intelligence, this book covers a wide range of topics and helps you master the latest Python coding idioms.

Product Specifications

  • Author: Deitel
  • Language: English
  • Format: Paperback
  • Number of Pages: Varies
  • Publisher: Deitel & Associates, Inc.
  • Publication Date: Varies

Key Features

  • 500+ hands-on, real-world, live-code examples from snippets to case studies
  • Uses Python Standard Library and data science libraries
  • Covers control statements, functions, strings, files, JSON serialization, and more
  • Includes collections like lists, tuples, dictionaries, sets, NumPy arrays, and pandas Series & DataFrames
  • Provides introductory sections on AI, basic stats, simulation, animation, and more
  • Features AI, big data, and cloud data science case studies with real-world datasets
  • Uses open-source libraries like NumPy, pandas, Matplotlib, scikit-learn, and Keras

Usage Scenarios

  • Master Python programming for data science and artificial intelligence
  • Learn the latest Python coding idioms and best practices
  • Work on real-world examples and case studies
  • Explore advanced topics like machine learning, deep learning, and computer vision
  • Gain hands-on experience with popular data science libraries
  • Apply Python programming skills to big data and cloud computing

Some User Review

  • Great book for programmers transitioning to Python. The examples are practical and the case studies are really interesting.
  • I love how this book focuses on real-world applications of Python. It's been a great resource for my data science projects.
  • The hands-on approach of this book is fantastic. It really helps solidify concepts through practice.

Competitors

  • The price of Python for Programmers: with Big Data and Artificial Intelligence Case Studies varies depending on the edition and the retailer. It is recommended to compare prices from different sources to get the best deal.

Buying Considerations

  • Consider your programming background and level of expertise before purchasing this book. It is targeted towards professional programmers with prior experience in another high-level language.
  • If you're interested in data science and artificial intelligence, this book provides a comprehensive guide to Python programming in those domains.
  • Make sure to check the edition and publication date of the book to ensure that it covers the latest Python coding idioms and technologies.
  • Registering the product will give you access to downloads, updates, and corrections as they become available.

Conclusion

Python for Programmers: with Big Data and Artificial Intelligence Case Studies is a must-have guide for professional programmers looking to master Python programming in the context of data science and artificial intelligence. With its hands-on approach, real-world examples, and comprehensive coverage, this book is an invaluable resource for anyone looking to expand their Python skills and explore cutting-edge technologies.

View Less

Python for Programmers: with Big Data and Artificial Intelligence Case Studies is the ultimate guide for professional programmers with a background in another high-level language. This book provides hands-on instruction and uses real-world examples to teach programming in Python, one of the most popular and fastest-growing languages in the world. With a focus on data science and artificial intelligence, this book covers a wide range of topics and helps you master the latest Python coding idioms. Continue Reading

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Intelligence & Semantics Editorial Review

Python for Programmers: with Big Data and Artificial Intelligence Case Studies is an extensive resource for those looking to deepen their understanding of Python, particularly in the realm of machine learning and artificial intelligence. Spanning 640 pages, it provides solid coverage of Python syntax and structure, making it ideal for readers with prior programming experience. The book features relevant sections on big data and significant case studies using tools like scikit-learn and TensorFlow, helping readers apply concepts practically. While some may find it challenging to follow without prior knowledge, many appreciate the depth and breadth of topics covered, making it recommended for those serious about enhancing their programming skills.

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Pros

  • Comprehensive coverage of Python and AI topics
  • Good for programmers with OOP knowledge
  • Real-world case studies enhance learning
  • User-friendly examples aid understanding
  • Structured chapters facilitate self-paced learning

Cons

  • May be challenging for complete beginners

Product Price History

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