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Intro To Python For Computer Science And Data Science: Learning To Program With Ai, Big Data And The Cloud,New
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For Introductorylevel Python Programming And/Or Datascience Courses.A Groundbreaking, Flexible Approach To Computer Science And Data Sciencethe Deitels Introduction To Python For Computer Science And Data Science: Learning To Program With Ai, Big Data And The Cloud Offers A Unique Approach To Teaching Introductory Python Programming, Appropriate For Both Computerscience And Datascience Audiences. Providing The Most Current Coverage Of Topics And Applications, The Book Is Paired With Extensive Traditional Supplements As Well As Jupyter Notebooks Supplements. Realworld Datasets And Artificialintelligence Technologies Allow Students To Work On Projects Making A Difference In Business, Industry, Government And Academia. Hundreds Of Examples, Exercises, Projects (Eeps), And Implementation Case Studies Give Students An Engaging, Challenging And Entertaining Introduction To Python Programming And Handson Data Science.The Book'S Modular Architecture Enables Instructors To Conveniently Adapt The Text To A Wide Range Of Computerscience And Datascience Courses Offered To Audiences Drawn From Many Majors. Computerscience Instructors Can Integrate As Much Or As Little Datascience And Artificialintelligence Topics As They'D Like, And Datascience Instructors Can Integrate As Much Or As Little Python As They'D Like. The Book Aligns With The Latest Acm/Ieee Csandrelated Computing Curriculum Initiatives And With The Data Science Undergraduate Curriculum Proposal Sponsored By The National Science Foundation.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has eight hundred eighty pages. It offers comprehensive coverage of Python programming and data science concepts.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it lightweight and portable for students.
- Q: What are the dimensions of the book? A: The book measures seven point zero one inches in length, one point four six inches in width, and nine point one inches in height. These dimensions make it easy to handle.
- Q: What topics does this book cover? A: This book covers introductory Python programming and data science topics. It integrates artificial intelligence and big data applications.
- Q: Who is the author of this book? A: The author is Paul Deitel. He is well-known for his work in computer science education.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It is designed for introductory-level courses in Python programming and data science.
- Q: Can this book be used for both computer science and data science courses? A: Yes, this book is applicable for both fields. Its modular architecture allows flexibility in course integration.
- Q: How does this book help with hands-on learning? A: This book features real-world datasets and projects. It allows students to apply concepts practically.
- Q: Are there any supplements available for this book? A: Yes, the book includes Jupyter Notebooks supplements. These provide additional interactive learning opportunities.
- Q: What is the recommended audience for this book? A: The recommended audience includes students from various majors interested in computer science and data science. It can be adapted for diverse learning needs.
- Q: How should I store this book to keep it in good condition? A: Store the book in a cool, dry place. Avoid exposure to direct sunlight to prevent fading.
- Q: Can I return the book if I don't like it? A: Yes, you can return the book according to the retailer's return policy. Check for specific conditions and time frames.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact customer support for assistance. They will guide you through the return or replacement process.
- Q: How do I access the Jupyter Notebooks that accompany this book? A: Access the Jupyter Notebooks using the links provided in the book. They are designed to enhance your learning experience.
- Q: Is there a digital version of this book available? A: Yes, a digital version may be available through various e-book retailers. Check their platforms for details.
- Q: What makes this book different from other Python programming books? A: This book uniquely combines computer science and data science topics. Its flexible structure allows for diverse course integration.