SimPy: Simulation in Python by Afonso C. Medina (.ePUB)+
File Size: 11.6 MB
SimPy: Simulation in Python – A pratical guide by Afonso C. Medina
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Overview: 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. SimPy (Simulation in Python) is a framework for building discrete event simulation models in Python, distributed under the MIT license. It differs from commercial packages usually used in discrete event simulation, as it is not an application with ready-made objects that can be easily connected by simple mouse clicks. With SimPy, it is up to the user to build a Python computer program that represents their model. Essentially, SimPy is a command library that gives Python the power to build discrete event models. With SimPy, you can build, in addition to discrete simulation models, real-time simulation models, agent-based models, and even continuous simulation models. In fact, as the reader will notice throughout this text, these possibilities are more associated with Python than with the resources provided by SimPy itself. In addition to the library’s fundamentals, the book also covers some advanced topics, such as agent-based simulation, optimization and simulation.
Genre: Non-Fiction > Tech & Devices
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