Python for programmers : with big data and artificial intelligence case studies /
Paul Deitel, Harvey Deitel.
- xxxvi, 601 pages : illustrations ; 24 cm
- Deitel developer series. .
Includes index.
1. Introduction to Computers and Python 2. Introduction to Python Programming 3. Control Statements 4. Functions 5. Sequences : lists and tuples 6. Dictionaries and sets 7. Array-oriented programming with NumPy 8. Strings : a deeper look 9. File and Exceptions 10. Object-oriented programming 11. Natural language processing (NLP) 12. Data mining Twitter 13. IBM Watson and cognitive computing 14. Machine learning : classification, regression and clustering 15. Deep learning 16. Big data : Hadoop, Spark, NoSQL and IoT
Written for developers with a background in any high-level language, Introduction to Python and Data Science for Programmers explores the Python language and Python APIs in depth, applying the Deitels' signature live-code approach to teaching programming. Paul Deitel and Dr. Harvey M. Deitel present concepts in the context of fully tested programs, complete with syntax shading, code highlighting, line-by-line code walkthroughs, and program outputs. They feature hundreds of complete Python programs with nearly 20,000 lines of proven Python code, and hundreds of tips to help you build robust applications. You'll start with an introduction to Python using an early classes and objects approach, and then rapidly move on to more advanced topics. Throughout, you'll enjoy the Deitels' classic treatment of object-oriented programming. By the time you're finished, you'll have everything you need to build industrial-strength Python applications.
College of Engineering and Computer Studies Bachelor of Science in Information Technology