Python for programmers : With introductory AI case studies By Paul Deitel and Harvey Deitel

By:

Deitel, Paul & Deitel, Harvey

Material type: Text

TextSeries: Deitel Developer SeriesPublication details: India: Pearson India Education Services, c2020Edition: 1st EdDescription: i-xxxvi+601pISBN:

9789353947989

Subject(s):

Python (Computer program language)

DDC classification:

005.133 DEI-P

Contents:

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.

Summary: 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.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	005.133 DEI-P (Browse shelf(Opens below))	Available		DCB3891

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.

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