The Metaverse: Applications with Python

The Metaverse: Applications with Python takes you on an exciting journey through the rapidly evolving world of the Metaverse, where digital realms blend with our reality, powered by the cutting-edge Python programming language. In this comprehensive guide, you will explore the origins of the Metaverse from its conceptual roots to its transformation into a parallel digital universe—Home-Digitals. Discover the immense power that data holds, paving the way for the emergence of the Metaverse, and its potential to revolutionize our lives. With a strong emphasis on practicality, this book equips you with the necessary knowledge to navigate the Pre-Metaverse era. Uncover the magic networks, the complexities of decentralization, and the concept of inter-operability that will shape the Metaverse’s future. Dive in the depths of spatial presence and the immersive experience that awaits within.

About the Author

Necmi Gürsakal is a statistics professor at Mudanya University, where he shares his experience and knowledge with his students. Before that, he worked as a faculty member at the Econometrics Department at Bursa Uludag University for over 40 years. Necmi has many published Turkish books and English articles on data science, machine learning, artificial intelligence, social network analysis, and big data. In addition, he has served as a consultant to various business organizations.

Esma Birişçi is a programmer, statistician, and operations researcher with more than 15 years of experience in computer program development and five years in teaching students. She developed her programming ability while studying for her bachelor's degree and her knowledge of machine learning during her master's degree program. She completed her thesis about data augmentation and supervised learning. Esma transferred to Industrial Engineering and completed her doctorate program in dynamic and stochastic nonlinear programming. She studied large-scale optimization and life cycle assessment and developed a large-scale food supply chain application using Python. She is currently working at Bursa Uludag University, Turkey, where she transfers her knowledge to students. In this book, she is proud to be able to explain Python's robust structure.

Sadullah Çelik is a mathematician, statistician, and data scientist who completed his undergraduate and graduate education in mathematics and his doctorate in statistics. He has written Turkish and English numerous articles on big data, data science, machine learning, multivariate statistics, and network science. He developed his programming and machine learning knowledge while writing his doctoral thesis, Big Data and Its Applications in Statistics. He has been working at Aydın Adnan Menderes University for over nine years. He has extensive knowledge and experience in big data, data science, machine learning, and statistics, which he passes on to his students.