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

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Item #: 20441194

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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 Sint Maarten 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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Customer Questions & Answers

  • Question: What is 'Python for Programmers: with Big Data and Artificial Intelligence Case Studies' about?

    Answer: 'Python for Programmers: with Big Data and Artificial Intelligence Case Studies' is a comprehensive guide designed for those who already know programming concepts but want to leverage Python for advanced applications in data science and AI. It covers practical case studies that illustrate how Python can be used to solve complex problems involving big data and machine learning, making it suitable for students and professionals aiming to enhance their skills in these fields.
  • Question: Who is the target audience for this book?

    Answer: The target audience includes programmers with a foundational understanding of coding who want to delve into Python's capabilities in big data and artificial intelligence. This book is beneficial for software developers, data analysts, and engineering students looking to reinforce their skills and apply Python in real-world scenarios involving large datasets and AI-driven projects.
  • Question: What specific topics are covered in the book?

    Answer: The book covers a variety of important topics, including Python programming basics, data manipulation with libraries like Pandas, machine learning with scikit-learn, and deep learning frameworks such as TensorFlow and Keras. Additionally, it provides insights into working with big data technologies like Hadoop and Spark, all conveyed through practical case studies that enhance the learning experience.
  • Question: Can beginners understand this book?

    Answer: While the book is primarily tailored for those with programming experience, beginners can still find it beneficial if they are willing to familiarize themselves with Python fundamentals. Readers are advised to grasp the basics of Python before diving into the more advanced concepts of big data and AI presented in this guide. Supplemental resources and tutorials can further assist newcomers in navigating the content.
  • Question: What practical applications can I expect to learn from this book?

    Answer: Readers can expect to learn how to apply Python programming to real-world scenarios in fields such as finance, healthcare, and marketing by handling big datasets and implementing machine learning algorithms. Case studies in the book exemplify projects like predictive analytics, data visualization, and AI model deployment, providing hands-on experience that directly correlates with industry needs.
  • Question: Does the book provide code examples?

    Answer: Yes, the book is rich in code examples that demonstrate how to implement various concepts discussed. Each chapter includes sample code snippets, practical exercises, and complete projects that readers can run on their own systems. This hands-on approach not only reinforces learning but also allows readers to experiment and build their own applications using Python for data analysis and artificial intelligence.
  • Question: Is this book relevant for current industry trends?

    Answer: Absolutely! The contents of 'Python for Programmers: with Big Data and Artificial Intelligence Case Studies' are timely and relevant, as Python continues to dominate in data science and AI fields. The book covers cutting-edge technologies and methodologies, preparing readers to tackle industry challenges and contribute to innovative projects in big data and AI, which are increasingly critical to various sectors.
  • Question: Do I need any special tools to follow along with the book?

    Answer: To effectively follow along, readers should have a decent development environment set up, typically including Python, an IDE like PyCharm or Jupyter Notebook, and relevant libraries such as NumPy, Pandas, and TensorFlow. The book guides readers through the required setups and tools, ensuring they have everything necessary to implement the discussed concepts and projects confidently.
  • Question: Where can I get support if I have questions while reading?

    Answer: If you have questions while reading, many readers find online programming communities such as Stack Overflow or Python-related forums helpful. Additionally, following authors or related channels on social media platforms can lead to finding answers and discussions about concepts from the book. Engaging in such communities enhances learning, as sharing experiences and solutions with others can be highly beneficial.
  • Question: Where can I buy 'Python for Programmers: with Big Data and Artificial Intelligence Case Studies'?

    Answer: You can purchase 'Python for Programmers: with Big Data and Artificial Intelligence Case Studies' from Ubuy. Ubuy offers a platform that provides various books and resources, making it easy to find educational materials. They have a user-friendly interface, competitive prices, and deliver the product conveniently, allowing readers to get started on their learning journey efficiently.

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

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Features & Benefits

  • Great introduction to Python programming
  • Covers contemporary data science topics
  • Includes machine learning and big data concepts
  • Covers cloud computing and deep learning
  • Engaging, practical and accessible

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