Mastering Python for Finance - Second Edition

4.3 (4 reviews total)
By James Ma Weiming
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  1. Section 1: Getting Started with Python

About this book

The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples.

You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance.

By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.

Publication date:
April 2019
Publisher
Packt
Pages
426
ISBN
9781789346466

About the Author

  • James Ma Weiming

    James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.

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Latest Reviews

(4 reviews total)
Gives a broad view, without being bogged down in details. Very useful.
I learned a lot - explained several ideas very clearly both in the financial definitions and the programming of those ideas. Have been able to implement them into my own uses. I'm pretty new to programming - have no intention of programming for a living - but have a good grasp of what I want to do and how because of this book.
Can not buy from the site eventhough I have credit on my visa.

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Mastering Python for Finance - Second Edition
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