Specifications
book-author | Paul Deitel ; Harvey Deitel |
---|---|
file-type | |
isbn10 | 0135404673 |
isbn13 | 9780135404676 |
language | English |
publisher | Pearson |
Book Description
“Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data, and The Cloud 1st Edition” authored by Paul Deitel and Harvey Deitel is an exceptional educational resource that serves as a gateway to the dynamic worlds of computer science and data science through the lens of Python programming. This first edition is a comprehensive and contemporary guide designed to equip students, aspiring programmers, and data enthusiasts with the skills needed to navigate the realms of AI, big data, and cloud computing.
Python, known for its simplicity and versatility, is the perfect language for individuals looking to embark on a journey into the world of programming and data science. The authors, renowned experts in the field, leverage Python's approachability to provide readers with a solid foundation in programming principles, data analysis, and cloud-based technologies.
Key highlights of this edition include:
AI Exploration: The book introduces readers to the fascinating world of artificial intelligence, offering insights into machine learning, natural language processing, and other AI concepts. It showcases how Python can be used to develop AI-driven applications and solutions.
Big Data Insights: With the explosion of data in today's digital age, understanding big data is essential. The book explores techniques for data manipulation, analysis, and visualization, preparing readers to work with large datasets effectively.
Cloud Computing: Cloud technologies are a cornerstone of modern computing. Readers gain exposure to cloud platforms and learn how to develop cloud-based applications, making them well-prepared for the evolving technology landscape.
Hands-On Approach: The book follows a practical, hands-on approach with numerous coding examples, exercises, and projects. This ensures that readers not only understand the concepts but also have the skills to apply them in real-world scenarios.
Comprehensive Learning: Whether you're a beginner or someone with prior programming experience, the book caters to a wide range of learners. It starts with the basics and progressively delves into more advanced topics, making it suitable for various skill levels.
“Intro to Python for Computer Science and Data Science” is more than just a textbook; it's a comprehensive learning experience. It empowers individuals to harness the power of Python to enter the exciting fields of computer science and data science, where they can explore cutting-edge technologies, analyze vast datasets, and contribute to the world of AI and cloud computing. With this book as their guide, readers embark on a transformative journey that prepares them for success in the digital age.
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