These days, Python is undoubtedly one of the major strategic technology platforms in the financial
industry. When I started writing the first edition of this book in 2013, I still had many conversations
and presentations in which I argued relentlessly for Python’s competitive advantages in finance over
other languages and platforms. Toward the end of 2018, this is not a question anymore: financial
institutions around the world now simply try to make the best use of Python and its powerful
ecosystem of data analysis, visualization, and machine learning packages.
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