Mastering Python for Finance-2nd(2019).rar
Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition Author: James Ma Weiming Pub Date: 2019 ISBN: 978-1789346466 Pages: 426 Language: English Format: EPUB Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications 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 sklearn. 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 Solve linear and nonlinear models representing various financial problems Perform principal component analysis on the DOW index and its components Analyze, predict, and forecast stationary and non-stationary time series processes Create an event-driven backtesting tool and measu
Mastering-Python-for-Finance + 打开量化交易的黑箱2019-02-07
金融量化的基础书籍：Mastering-Python-for-Finance + 打开量化交易的黑箱
Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python About This Book Explore financial models used by the industry and ways of solving them with this guide Discover the various features that Python provides for scientific computing and harness them to enhance your financial applications Build state-of-the-art infrastructure for critical aspects such as modeling, trading, pricing, and analytics Who This Book Is For If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required. In Detail Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development. With this book, you will learn about all the tools you need to successfully perform research studies and modeling, improve your trading strategies, and effectively manage risks. You will explore the various tools and techniques used in solving complex problems commonly faced in finance. You will learn how to price financial instruments such as stocks, options, interest rate derivatives, and futures using computational methods. Also, you will learn how you can perform data analytics on market indexes and use NoSQL to store tick data. Table of Contents Chapter 1: Python For Financial Applications Chapter 2: The Importance Of Linearity In Finance Chapter 3: Nonlinearity In Finance Chapter 4: Numerical Procedures Chapter 5: Interest Rates And Derivatives Chapter 6: Interactive Financial Analytics With Python And Vstoxx Chapter 7: Big Data With Python Chapter 8: Algorithmic Trading Chapter 9: Backtesting Chap
This book uses advanced Python. You'll need to be relatively familiar with Python 3. It helps to learn a programming language when you have a problem of your own to solve. If you are a skilled ...
Python for Finance(2nd) 英文pdf 第2版 此版本所有图片和公式均能正常显示，并包含代码 本资源转载自网络，如有侵权，请联系上传者或csdn删除
Mastering Python for Finance(PACKT,2015)2015-08-21
Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development. With this book, you will learn about all the tools you need to successfully
Python for Finance: Mastering Data-Driven Finance, 2nd Edition（2019）2018-12-13
Author: Yves Hilpisch Pub Date: 2019 ISBN: 978-1492024330 Pages: 720 Language: English Format: EPUB The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Mastering Python for Finance2016-12-09
Mastering Python for Finance April 2015 Book Description Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development. With this book, you will learn about all the tools you need to successfully perform research studies and modeling, improve your trading strategies, and effectively manage risks. You will explore the various tools and techniques used in solving complex problems commonly faced in finance. You will learn how to price financial instruments such as stocks, options, interest rate derivatives, and futures using computational methods. Also, you will learn how you can perform data analytics on market indexes and use NoSQL to store tick data.
Mastering Python For Finance2019-04-07
Python is widely practiced in various sectors of finance, such as banking, investment management, insurance, and even real estate, for building tools that help in financial modeling, risk management, and trading. Even big financial corporations embrace Python to build their infrastructure for position management, pricing, risk management, and trading systems.
Python for Data Analysis(2nd Edition 2017-09)2017-10-13
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition by Wes McKinney O'Reilly Media 2017-09-25 550 pages Book Description Looking for complete instructions on ...
Python for Finance - Second Edition(pdf+epub+mobi+code_files).zip2018-07-16
Python for Finance - Second Edition(pdf+epub+mobi+code_files).zip
Python for Finance.英文版(2nd Edition.Yves Hilpisch).pdf2019-04-09
Python for Finance.英文版(2nd Edition.Yves Hilpisch).pdf 与金融相关的大数据分析经典教材 By Yves Hilpisch 为了让大家都能下载，请不要给5分好评，因为好评会上调下载积分