Python is the thread running through this broad, practical handbook—from programming fundamentals and databases to machine learning and virtual reality. Rather than stopping at introductory syntax, the chapters show how Python concepts connect with a range of computing applications, making the book useful for readers building a wider view of the field.
One language, a wide range of applications 💻
The book begins with introductory programming and object-oriented principles, then turns to graphical user interfaces, application development, data structures and algorithms, and database programming. Its later chapters explore data analytics and visualization, statistical analysis, machine learning, neural networks and deep learning, and virtual-reality application development.
Practice is part of the plan
Examples include code and its output, so readers can follow how programming ideas are expressed and what they produce. Each chapter ends with a case study, giving the material an applied dimension; solutions to the case studies appear in an appendix.
A broad survey for students and transitioning professionals
The handbook is aimed at entry-to-intermediate readers, including students in computer science, information systems, and information technology. It may also suit professionals who already have theoretical and computational-thinking foundations and are moving into Python. Its range makes it a useful reference for readers interested in how programming relates to data analysis, software applications, and interactive technologies.
Explore Python beyond the basics
With twelve chapters spanning core programming through specialized topics, this edited volume offers a substantial map of Python’s uses. Choose it for a course, a guided survey, or a topic-by-topic reference as you develop your understanding of computer programming.
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