000			02140nam a22002177a 4500
005			20240105101623.0
008			240105b |||||||| |||| 00| 0 eng d
020			_a9781789346466
082			_a005.133 _bWEI
100			_aWeiming, James Ma _914370
245			_aMastering Python for finance: _bimplement advanced state-of-the-art financial statistical applications using Python
250			_a2nd
260			_bPackt Publishing Ltd. _aBirmingham _c2019
300			_aix, 409p.
365			_aINR _b3299.00
520			_aThe 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. (https://www.packtpub.com/product/mastering-python-for-finance-second-edition/9781789346466)
650			_aPython (Computer program language) _913655
650			_aApplication software-Development _914802
650			_aComputers-Finance _914803
942			_cBK _2ddc
999			_c6115 _d6115