Game Theory with Python

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Game Theory with Python provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Game Theory with Python is taught by Barsha Saha. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • In this 2-hour long project-based course, you will learn the game theoretic concepts of Two player Static and Dynamic Games, Pure and Mixed strategy Nash Equilibria for static games (illustrations with unique and multiple solutions), Example of Axelrod tournament. You will be building two player Nash games and analyze them using Python packages Nashpy and Axelrod, especially built for game theoretic analyses. Also, you will gain the understanding of computational mechanisms related to the aforementioned concepts.

    Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.