Learning Professional Python
Volume 1: The Basics
1st Edition
Published on 16. October 2023
Book
Hardback
256 pages
978-1-032-53925-6 (ISBN)
Description
Volume 1 of Learning Professional Python is a resource for students who want to learn Python even if they don't have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in IT Industry and teaches the students in an easy, understandable manner while strengthening coding skills.
Learning Professional Python: Volume 1 Objectives
Become familiar with the features of Python programming language
Introduce the object-oriented programming concepts
Discover how to write Python code by following the object-oriented programming concepts
Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages
Learn the Python generics and collections
Develop exception handling and the multithreaded applications
Design graphical user interface (GUI) applications
Learning Professional Python: Volume 1 Objectives
Become familiar with the features of Python programming language
Introduce the object-oriented programming concepts
Discover how to write Python code by following the object-oriented programming concepts
Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages
Learn the Python generics and collections
Develop exception handling and the multithreaded applications
Design graphical user interface (GUI) applications
More details
Series
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate, Undergraduate Advanced, and Undergraduate Core
Product notice
sewn/stitched
Cloth over boards
Illustrations
183 farbige Abbildungen, 183 Farbfotos bzw. farbige Rasterbilder, 68 s/w Tabellen
68 Tables, black and white; 183 Halftones, color; 183 Illustrations, color
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 16 mm
Weight
558 gr
ISBN-13
978-1-032-53925-6 (9781032539256)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
10/2023
1st Edition
Chapman & Hall/CRC
€75.50
Shipment within 10-20 days
E-Book
10/2023
1st Edition
Chapman & Hall/CRC
€77.99
Available for download
E-Book
10/2023
1st Edition
Chapman & Hall/CRC
€77.99
Available for download
Persons
Usharani Bhimavarapu is working as an Assistant Professor in the Computer Science and Engineering Department at Koneru Lakshmaiah Education Foundation at Vaddeswaram, Andhra Pradesh, India. She has been teaching from last 14 years with emphasis on Data Mining, Machine Learning, and Data Structure. She communicated more than 40 research papers in SCI, SCIE, Scopus indexed Journals. She has authored 12 books in programming languages like CPP, Java, Python, HTML,CSS and so on.
Dr. Jude D. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 230 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences. His Cumulative Impact Factor is more than 350. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET.
Dr. Jude D. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 230 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences. His Cumulative Impact Factor is more than 350. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET.
Content
Preface. Author Biographies. Chapter 1 Python Basics. Chapter 2 Python Operators. Chapter 3 Decision-Making and Conditionals. Chapter 4 Strings. Chapter 5 Lists. Chapter 6 Tuple. Chapter 7 Sets. Chapter 8 Dictionary. Chapter 9 Modules and Packages. Chapter 10 Functions. Chapter 11 Date and Time. Chapter 12 Regular Expression. INDEX.