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Python for Programmers: with Big Data and Artificial Intelligence Case Studies
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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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Ce Iese în evidență
Detalii produs
- 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 |
Cine Ar Trebui să Cumpere?
-
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.
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Beginners
Not suitable for absolute beginners as it assumes prior programming knowledge and familiarity with Python concepts.
DESCRIEREA PRODUSULUI
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.
Întrebări și răspunsuri ale clienților
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Întrebare:
What is 'Python for Programmers: with Big Data and Artificial Intelligence Case Studies' about?
Răspuns: '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. -
Întrebare:
Who is the target audience for this book?
Răspuns: 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. -
Întrebare:
What specific topics are covered in the book?
Răspuns: 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. -
Întrebare:
Can beginners understand this book?
Răspuns: 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. -
Întrebare:
What practical applications can I expect to learn from this book?
Răspuns: 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. -
Întrebare:
Does the book provide code examples?
Răspuns: 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. -
Întrebare:
Is this book relevant for current industry trends?
Răspuns: 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. -
Întrebare:
Do I need any special tools to follow along with the book?
Răspuns: 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. -
Întrebare:
Where can I get support if I have questions while reading?
Răspuns: 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. -
Întrebare:
Where can I buy 'Python for Programmers: with Big Data and Artificial Intelligence Case Studies'?
Răspuns: 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.
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Caracteristici și avantaje
- 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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