Handbook of Computer Programming with Python

1. Auflage 2024
ISBN: 978-0-367-68778-6
Verlag: Chapman and Hall/CRC

Buch, Englisch, 630 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1170 g

This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems. It can also be used by professionals who possess the necessary theoretical and computational thinking background but are presently making their transition to Python.

Key Features:

- Discusses concepts such as basic programming principles, OOP principles, database programming, GUI programming, application development, data analytics and visualization, statistical analysis, virtual reality, data structures and algorithms, machine learning, and deep learning

- Provides the code and the output for all the concepts discussed

- Includes a case study at the end of each chapter

This handbook will benefit students of computer science, information systems, and information technology, or anyone who is involved in computer programming (entry-to-intermediate level), data analytics, HCI-GUI, and related disciplines.

Zielgruppe

Academic

Autoren/Hrsg.

Xanthidis, Dimitrios

Xanthidou, Ourania K.

Manolas, Christos

Wang, Han-I

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Informatik
• Mathematik | Informatik Mathematik Algebra Zahlentheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Chapter 1 Introduction

Dimitrios Xanthidis, Christos Manolas, Ourania K. Xanthidou, and Han-I Wang

Chapter 2 Introduction to Programming with Python

Ameur Bensefia, Muath Alrammal, and Ourania K. Xanthidou

Chapter 3 Object-Oriented Programming in Python

Ghazala Bilquise, Thaeer Kobbaey, and Ourania K. Xanthidou

Chapter 4 Graphical User Interface Programming with Python

Ourania K. Xanthidou, Dimitrios Xanthidis, and Sujni Paul

Chapter 5 Application Development with Python

Dimitrios Xanthidis, Christos Manolas, and Hanêne Ben-Abdallah

Chapter 6 Data Structures and Algorithms with Python

Thaeer Kobbaey, Dimitrios Xanthidis, and Ghazala Bilquise

Chapter 7 Database Programming with Python

Dimitrios Xanthidis, Christos Manolas, and Tareq Alhousary

Chapter 8 Data Analytics and Data Visualization with Python

Dimitrios Xanthidis, Han-I Wang, and Christos Manolas

Chapter 9 Statistical Analysis with Python

Han-I Wang, Christos Manolas, and Dimitrios Xanthidis

Chapter 10 Machine Learning with Python

Muath Alrammal, Dimitrios Xanthidis, and Munir Naveed

Chapter 11 Introduction to Neural Networks and Deep Learning

Dimitrios Xanthidis, Muhammad Fahim, and Han-I Wang

Chapter 12 Virtual Reality Application Development with Python

Christos Manolas, Ourania K. Xanthidou, and Dimitrios Xanthidis

Appendix: Case Studies Solutions

Über Autor(innen)

Dimitrios Xanthidis holds a PhD in Information Systems from University College London. For the past 25 years, he has been teaching computer science subjects with a focus on programming and software development, and data structures and databases in various tertiary education institutions. Currently, he is working in Higher Colleges of Technology in Dubai, U.A.E. Dimitrios’ research interests and work revolve around the topics of data science, machine learning/deep learning, virtual/augmented reality, and emerging technologies.

Christos Manolas holds a PhD in Stereoscopic 3D Media (University of York, UK), and degrees and qualifications in Postproduction (MA), Music Technology (MSc), Music Performance, Software Development, and Media Production. Christos’ career includes work as a software developer, musician, audio producer, and educator for over 20 years. His research interests include multimodal (audiovisual) perception, spatial audio, interactive and immersive media (VR/AR/XR), and generally the impact and role of digital technologies on media production.

Ourania K. Xanthidou is a PhD researcher at Brunel University, London. She holds an MSc in Computer Science from the University of Malaya, Kuala Lumpur, Malaysia. She has more than 15 years of involvement with the IT industry in the form of supporting IT departments of SMEs and more than 5 years of teaching experience in tertiary education. Ourania’s research interests are in the areas of eHealth, smart health, databases, web application development, and object-oriented programming with a focus on application development for VR/AR/XR.

Han-I Wang holds a PhD in Health Economics from the University of York, UK. Han-I has been working as a research fellow for over 10 years, starting at the Epidemiology & Cancer Statistics Group (ECSG) before joining the Mental Health and Addiction Research Group (MHARG) at the University of York, UK. Her area of expertise spans across cost analysis, health outcome research, and decision modeling using complex patient-level data, and her main research interests are related with the exploration of different decision-modeling techniques and their application to predict healthcare expenditure, patients’ quality of life, and life expectancy.