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Python for Finance introduces the Python libraries and tools you need to successfully apply Python for the development of financial applications and interactive financial analytics. The first part shows you how to set-up the infrastructure, the second is more topic-oriented, and the third provides relevant case studies. The author includes topics such as integration with Excel, and handling derivatives valuation (through a Monte Carlo simulation).

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