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B01=Christos Manolas
B01=Dimitrios Xanthidis
B01=Han-I Wang
B01=Ourania K. Xanthidou
Category1=Non-Fiction
Category=UB
Category=UMB
Category=UMX
Category=UMZ
Category=UY
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
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Handbook of Computer Programming with Python

English

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.

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Current price €97.84
Original price €102.99
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Age Group_Uncategorizedautomatic-updateB01=Christos ManolasB01=Dimitrios XanthidisB01=Han-I WangB01=Ourania K. XanthidouCategory1=Non-FictionCategory=UBCategory=UMBCategory=UMXCategory=UMZCategory=UYCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 1320g
  • Dimensions: 178 x 254mm
  • Publication Date: 12 Dec 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9780367687779

About

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. Ouranias 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.

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