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Item #:
67917098
Python for Programmers: With Introductory AI Case Studies (Ellis Horwood Series in Applied Science and Industrial Techn)
Item #:
67917098
GMD 4313
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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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Product Details
- 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 | 22 Oct. 2018 |
| Edition | 1st |
| Language | English |
| Print length | 640 pages |
| ISBN-10 | 0135224330 |
| ISBN-13 | 978-0135224335 |
| Item weight | 971 g |
| Dimensions | 17.78 x 3.18 x 23.11 cm |
| Part of series | Deitel Developer Series |
Product Description
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
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Question:
What Python topics does this book cover?
Answer: This book covers a wide range of Python topics, including both programming and data science concepts. It also covers deep learning, machine learning, big data, cloud computing and APIs. -
Question:
Who is this book intended for?
Answer: This book is intended for anyone who wants to learn Python programming and its applications in data science, including professionals, academics and students. -
Question:
What coding examples are provided in the book?
Answer: The book provides a range of coding examples, including real-world case studies of big data and artificial intelligence applications. Code is also provided in companion Jupyter notebooks.
Data Mining Editorial Review
Python For Programmers With Introductory AI Case Studies from the Ellis Horwood Series in Applied Science and Industrial Technology is a comprehensive first edition published by Pearson on 22 October 2018, featuring a substantial print length of 640 pages. This text is aimed at those looking to enhance their programming skills, particularly within the realm of AI applications. Designed for both learners and seasoned developers, it stands out with its practical case studies that integrate core Python concepts with artificial intelligence, effectively catering to the modern learning environment. Readers commend its structure and clarity, making it an accessible choice for programmers of various levels.
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Pros
- Comprehensive coverage of Python programming
- Practical AI case studies included
- Well-structured for clear understanding
- Suitable for beginners and experienced developers
- Published by a reputable publisher
Cons
- Some readers may prefer more advanced topics
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GMD 4313
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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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