Code in Python, Think in AI : A Complete Roadmap From Python Programming to Machine Learning and Artificial Intelligence
Language: English
Published by Notion Press, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 89.19
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Code in Python, Think in AI is a practical, industry-focused guide that helps readers master Python while developing the mindset and skills required for modern AI and Machine Learning engineering. Rather than treating Python and AI as separate subjects, this book integrates them into a single learning journey-from programming fundamentals to data-driven applications and introductory machine learning systems.The book covers Python fundamentals, data structures, algorithms, object-oriented programming, exception handling, file processing, and modular development before progressing to NumPy, Pandas, Matplotlib, Scikit-learn, and complete machine learning workflows. Through real-world examples, hands-on exercises, interview-focused concepts, and capstone projects, readers learn not only how to write Python code, but how to think like an engineer building intelligent systems.Whether you are a student, software engineer, data professional, or aspiring AI practitioner, this book provides a strong foundation for succeeding in today's AI-driven technology landscape.…
Seller Inventory # 9798905405587
- Title
- Code in Python, Think in AI : A Complete Roadmap From Python Programming to Machine Learning and Artificial Intelligence
- Author
- Kripa Shankar Sharma
- Publisher
- Notion Press
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798905405587
- Item weight
- 1,410 grams
- Dimensions
- 280x216x30 mm
Code in Python, Think in AI is a practical, industry-focused guide that helps readers master Python while developing the mindset and skills required for modern AI and Machine Learning engineering. Rather than treating Python and AI as separate subjects, this book integrates them into a single learning journey-from programming fundamentals to data-driven applications and introductory machine learning systems.
The book covers Python fundamentals, data structures, algorithms, object-oriented programming, exception handling, file processing, and modular development before progressing to NumPy, Pandas, Matplotlib, Scikit-learn, and complete machine learning workflows. Through real-world examples, hands-on exercises, interview-focused concepts, and capstone projects, readers learn not only how to write Python code, but how to think like an engineer building intelligent systems.
Whether you are a student, software engineer, data professional, or aspiring AI practitioner, this book provides a strong foundation for succeeding in today's AI-driven technology landscape.
"Synopsis" may belong to another edition of this title.
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