December 2014
Intermediate to advanced
606 pages
13h 46m
English
This part introduces Python for finance. It consists of three chapters:
Python in general and argues why Python is indeed well suited to address the technological challenges in the finance industry and in financial (data) analytics.
Python infrastructure and tools, is meant to provide a concise overview of the most important things you have to know to get started with interactive analytics and application development in Python; the related Appendix A surveys some selected best practices for Python development.
Python, how to simulate a financial model with Python and the array library NumPy, and how to implement a backtesting for a trend-based investment strategy. This chapter should give the reader a feeling for what it means to use Python for financial analytics—details are not that important at this stage; they are all explained in Part II.
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