Python for programmers : with introductory AI case studies

By:

Deitel, Paul

Contributor(s):

Deitel, Harvey

Material type: Text

TextSeries: Deitel developer seriesPublication details: Noida Pearson India Education Services Pvt Ltd 2020Description: xvi, 601pISBN:

9789353947989 (pbk.)

Subject(s):

DDC classification:

005.133 DIE

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	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Computer science	005.133 DIE (Browse shelf(Opens below))	Available		003528
Book	Plaksha University Library	Computer science	005.133 DIE (Browse shelf(Opens below))	Checked out	08/11/2024	003529

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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