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Python for programmers : with big data and artificial intelligence case studies / Paul Deitel, Harvey Deitel.

By: Contributor(s): Series: Deitel developer seriesPublisher: Boston, MA : Pearson, 2019Description: xxxvi, 601 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780135224335
Subject(s): DDC classification:
  • 23 005.13 D36 2019
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.
Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books College Library General Circulation Section GC GC 005.13 D36 2019 (Browse shelf(Opens below)) Checked out 06/30/2025 HNU004835
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GC 005.12 T57 Tog on software design/ GC 005.13 An88 Application programming in structured C/ GC 005.13 C44 2020 JavaScript : GC 005.13 D36 2019 Python for programmers : GC 005.13 D49 The Database Experts' Guide to Focus: GC 005.13 D85 2022 PHP & MySQL / GC 005.13 G86 2024 Professional C++ /

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

In English

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