Paperback, Pearson
- Hundreds of examples, exercises and projects (EEPs) offer a hands-on introduction to Python and data science.
- AI, big data and the Cloud are explored in 6 fully implemented data science case studies.
- Jupyter Notebooks supplements give students practice working in a live coding environment.
- Self-Check exercises with answers let students test their knowledge using short-answer questions and interactive iPython coding sessions.
Unique modular organization of computer and data science topics
- Content is divided into groups of related chapters. Python content and optional intros to data science are presented early. Later chapters dive deeper into data science.
- A chapter dependency chart helps instructors easily plan their syllabi.