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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:
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.
Dimitrios Xanthidis holds a PhD in information systems from the University College London. For the past 25 years he has been teaching computer programming, databases, and related subjects in various tertiary education institutions worldwide. Dimitrios' research interests and work include themes related to social media, eCommerce, eHealth, eLearning, and emerging technologies.
Christos Manolas is an audio, media and technology specialist with academic and professional experience in music performance and technology, media production, sound design, multimedia and IT. He holds a PhD in 3D Media from the University of York and his research interests include emerging technologies, 3D audiovisual media production, and virtual and augmented reality.
Ourania K. Xanthidou is a PhD researcher at Brunel University, London. She holds an MSc in computer science and she has more than 15 years of involvement in IT both in professional and supportive roles and through teaching in tertiary education. Her research interests are in the areas of eHealth, databases, web programming, object-oriented programming, and virtual and augmented reality.
Han-I Wang holds a PhD in health economics from the University of York. She has worked as a researcher with various research teams worldwide. Han-I specializes in cost analysis, health outcome research and decision modelling. Her main research interests are in the exploration of decision modelling techniques and their application to predict healthcare expenditure, patients' quality of life and life expectancy.
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