Mastering Python for Finance
Weiming, James Ma
Sold by World of Books (was SecondSale), Montgomery, IL, U.S.A.
AbeBooks Seller since 20 December 2007
Used - Soft cover
Condition: Used - Good
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by World of Books (was SecondSale), Montgomery, IL, U.S.A.
AbeBooks Seller since 20 December 2007
Condition: Used - Good
Quantity: 1 available
Add to basketItem in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Seller Inventory # 00097312544
Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications
Key Features:
Book Description:
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.
What You Will Learn:
Who this book is for:
If you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.
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