https://i127.fastpic.org/big/2026/0319/b1/eaf6194637b37f1d7020073acac4f8b1.avif
English | 2025 | ISBN: NA | 252 Pages | PDF, EPUB | 12 MB
Learn to build discrete-event simulation models and agent-based simulation models using SimPy, a Python library.
The book SimPy: Simulation in Python presents the SimPy library for building discrete-event simulation models in Python.
Throughout its chapters, it introduces the library's fundamental concepts and its main commands through examples. At the end of each chapter, practical exercises are provided-both solved challenges and additional exercises-so that readers can test their knowledge.
In addition to the library's fundamentals, the book also covers some advanced topics, such as agent-based simulation, optimization and simulation.
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