BookInfo
| ISBN: 9781492024330 | Number of Pages: 720 |
| Publisher: O’Reilly Media | Book Title: Python for Finance: Mastering Data-Driven Finance |
| Publication Year: 2019 | Target Audience: Trade |
| Author: Yves Hilpisch | Reading Age: 18+ |
Summary
Python for Finance is the only professional book that explains in detail the use of Python to analyze and process financial data. Compulsory for practitioners in the field of financial application development.
Python, with its simplicity, readability, extensibility, and huge and active scientific computing community, has been widely and rapidly applied in the financial industry that needs to analyze and process large amounts of data and has become the preferred programming language for developing core applications in the industry.
Python for Finance provides techniques and tools for using Python to analyze data and develop related applications. The book is divided into three parts, 19 chapters in total.
Part 1 introduces the application of Python for finance, including the reasons why Python is used in the financial industry, Python infrastructure and tools, and some specific introductory examples of Python in quantitative finance;
Part 2 introduces the most important Python library, technology, and method in financial analysis and application development, which covers Python data type and structure, data visualization with matplotlib, financial time series data processing, high-performance input/output operations, high-performance Python technology, and library, various mathematical tools required in finance, random number generation and random process simulation, Python statistical application The integration of Python and Excel, the development of Python object-oriented programming and GUI, the integration of Python and Web technology, and the development of Web applications and Web services.
Part 3 focuses on the development of the practical application of Monte Carlo simulation options and derivatives pricing, which covers the introduction of valuation framework, simulation of financial models, valuation of derivatives, valuation of portfolios, volatility options, and other knowledge.
Python for Finance is one of the Best Quantitative Trading Books for Beginners
About the Author
Yves Hilpisch is the founder and managing shareholder of Python Quants (Germany) Co., Ltd. and the co-founder of Python Quants (New York) Co., Ltd. The Group provides Python-based financial and derivative analysis software, consulting development, and training services related to Python and finance.
Yves is also the author of Derivatives Analytics with Python (Wiley Finance, 2015). As a graduate student of business management with a doctorate in mathematical finance, he taught the course on numerical methods in computational finance at the University of Saarland.
Python for Finance PDF version will come as soon as possible.
Table of Contents
Author Profile
Copyright Notice
Summary
About O’Reilly Media, Inc
preface
Part 1 Python and Finance
Chapter 1 Why Python is used for finance
Chapter 2 Infrastructure and Tools
Chapter 3 Example of Getting Started
Part 2 Financial Analysis and Development
Chapter 4 Data Type and Structure
Chapter 5 Data Visualization
Chapter 6 Financial Time Series
Chapter 7 I/O Operation
Chapter 8 High-Performance Python
Chapter 9 Mathematical Tools
Chapter 10 Inferential Statistics
Chapter 11 Statistics
Chapter 12 Excel Integration
Chapter 13 Object Oriented and Graphical User Interface
Chapter 14 Web Integration
Part 3 Derivatives Analysis Library
Chapter 15 Valuation Framework
Chapter 16 Simulation of Financial Model
Chapter 17 Valuation of Derivatives
Chapter 18 Portfolio Valuation
Chapter 19 Volatility Options
Appendix A Selected Best Practices
Appendix B Call Options
Appendix C Date and Time
