Handbook of Computer Programming with Python

Dimitrios Xanthidis, Christos Manolas (Ravensbourne University London, UK), Ourania K. Xanthidou , Han-I Wang

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English

Chapman & Hall/CRC
19 December 2024

Mathematical foundations; Computer games: strategy guides; Games development & programming; Programming & scripting languages: general; Computer science

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.

Edited by: Dimitrios Xanthidis, Christos Manolas (Ravensbourne University London, UK), Ourania K. Xanthidou, Han-I Wang
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 453g
ISBN: 9780367687786
ISBN 10: 036768778X
Pages: 620
Publication Date: 19 December 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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

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.