Python For Finance

Python For FinanceFree Download Python For Finance Book in PDF written by Yves Hilpisch and published by O’Reilly Media, Inc. According to the Author, “Not too long ago, Python as a programming language and platform technology was considered exotic — if not completely irrelevant — in the financial industry. By contrast, in 2014 there are many examples of large financial institutions — like Bank of America Merrill Lynch with its Quartz project, or JP Morgan Chase with the Athena project — that strategically use Python alongside other established technologies to build, enhance, and maintain some of their core IT systems. There is also a multitude of larger and smaller hedge funds that make heavy use of Python’s capabilities when it comes to efficient financial application development and productive financial analytics efforts.

Similarly, many of today’s Master of Financial Engineering programs (or programs awarding similar degrees) use Python as one of the core languages for teaching the translation of quantitative finance theory into executable computer code. Educational programs and trainings targeted to finance professionals are also increasingly incorporating Python into their curricula. Some now teach it as the main implementation language.

There are many reasons why Python has had such recent success and why it seems it will continue to do so in the future. Among these reasons are its syntax, the ecosystem of scientific and data analytics libraries available to developers using Python, its ease of integration with almost any other technology, and its status as open source.

For that reason, there is an abundance of good books available that teach Python from different angles and with different focuses. This book is one of the first to introduce and teach Python for finance — in particular, for quantitative finance and for financial analytics. The approach is a practical one, in that implementation and illustration come before theoretical details, and the big picture is generally more focused on than the most arcane parameterization options of a certain class or function.

Table of Contents

  1. Why Python for Finance?
  2. Infrastructure and Tools
  3. Introductory Examples
  4. Data Types and Structures
  5. Data Visualization
  6. Financial Time Series
  7. Input/Output Operations
  8. Performance Python
  9. Mathematical Tools
  10. Stochastics
  11. Statistics
  12. Excel Integration
  13. Object Orientation and Graphical User Interfaces
  14. Web Integration
  15. Valuation Framework
  16. Simulation of Financial Models
  17. Derivatives Valuation
  18. Portfolio Valuation
  19. Volatility Options
  20. Appendixes

Free Download Python For Finance Book in PDF written by Yves Hilpisch from following download links.

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File Size: 13.5 MB          Pages: 566           Please Read Disclaimer

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You may also like to download Introduction to Python Programming in PDF

 

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