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20441194
Python for Programmers: with Big Data and Artificial Intelligence Case Studies
86% of respondents would recommend this to a friend
Item #:
20441194
SAR 221
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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
- 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?
-
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.
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AI Enthusiasts
Great for learners interested in artificial intelligence, providing case studies to enhance comprehension and skills.
-
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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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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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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