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
algorithms, machine learning,
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.