ai companion front cover

Learn Python by Building Your Own AI Companion

Learn Python by Building Your Own AI Companion

Master Modern Python by Building a Smart AI Companion System

From Zero to AI with Python
Build Intelligent Systems Fast with Real-World Projects

Learn modern Python by building a complete AI companion system from scratch.

This book takes a practical, project-first approach to Python programming. Instead of spending hundreds of pages on isolated syntax and theory, you will build real applications step by step using modern AI tools and real-world workflows.

Inside the book, you will learn how to:

  • build conversational AI systems
  • connect Python to modern LLMs
  • create memory and context-aware assistants
  • add voice and vision capabilities
  • automate tasks with Python
  • organize projects like a professional developer
  • package and share your applications

By the end of the book, you will have built a fully functional AI companion system with conversation, memory, tools, voice, and multimodal interaction.

Designed for:

  • beginners learning Python
  • developers moving into AI
  • makers and builders who want practical skills fast

This is not a traditional Python book.

👉 It is a hands-on journey from beginner to AI system builder.

Citation:

Wei, Shouke. 2026. Learn Python by Building Your Own AI Companion: Master Modern Python by Building a Smart AI Companion System. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.20102902.

@book{Wei2026datamodel,
  author    = {Wei, Shouke},
  title     = {Learn {Python} by Building Your Own AI Companion: Master Modern Python by Building a Smart AI Companion System},
  edition   = {1st},
  publisher = {Deepsim Press},
  address   = {Abbotsford, BC},
  year      = {2026},
  doi       = {10.5281/zenodo.20102902},
  url       = {https://press.deepsim.ca},
  isbn      = {978-1-0675592-9-8},
  note      = {Also available in hardcover (978-1-0677475-1-0) and paperback (978-1-0677475-0-3) editions.}
}

Publication Details

  • Author: Shouke Wei
  • Publisher: Deepsim Press
  • Format: PDF (Digital)
  • Edition: First edition
  • Print length: 323 pages
  • Item Weight: PDF eBook-5.72 MB (6,005,904 bytes)
  • Dimensions: 7.24 x 1.35 x 10.24 inches
  • Language: English
  • ISBN: 978-1-0675592-9-8 (eBook) | 978-1-0677475-1-0 (Hardcover) | 978-1-0677475-0-3 (Paperback)
  • DOI: 10.5281/zenodo.20102902
  • Publication date: 12/05/2026

About the Author

Shouke Wei

Shouke Wei, PhD, is a researcher, scientist, and entrepreneur specializing in intelligent IoT systems, robotics, big data analytics, modeling and forecasting, early-warning systems, and edge computing. With academic and industry experience across Europe, North America, and Asia, Dr. Wei is recognized for bridging advanced theory with real-world, production-ready systems.

Dr. Wei earned his Ph.D. in Environmental and Resource Management from the Department of Environmental Informatics at Brandenburg University of Technology Cottbus–Senftenberg (Germany). He conducted postdoctoral research at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), where he also served as a doctoral supervisor, and held research positions at the University of British Columbia (Canada). He has held distinguished and adjunct professorships at multiple institutions, including Yantai University, Ludong University, and Jining University. He has served as a graduate supervisor and distinguished professor in computer science, control engineering, and applied mathematics.

Dr. Wei’s work focuses on making advanced computational methods—particularly wavelet-based signal processing—accessible, practical, and impactful for researchers and practitioners worldwide. [More About the Author]

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