April 2019
Intermediate to advanced
426 pages
11h 13m
English
Content preview from Mastering Python for Finance - Second Edition
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Preface
This second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the finance industry, using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn how to manage risks using advanced examples. You will start by setting up a Jupyter notebook to implement the tasks throughout the book. You will learn how to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, NumPy, SciPy, scikit-learn, and so on. You will also learn how to build financial applications by mastering concepts such as stocks, options, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.