Python for Finance: Analyze Big Financial Data

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Python for Finance Yves Hilpisch Beijing • Cambridge • Farnham • Köln • Sebastopol • Tokyo ...

Preface Not too long ago, Python as a programming language and platform technology was considered exotic — ...

Finance-London/) and New York City (cf. http://www.meetup.com/Python-for-Quant- Finance-NYC/). There are also Fo ...

Conventions Used in This Book The following typographical conventions are used in this book: Italic Indicat ...

Using Code Examples Supplemental material (in particular, IPython Notebooks and Python scripts/modules) is avail ...

Safari® Books Online NOTE Safari Books Online is an on-demand digital library that delivers expert content in ...

How to Contact Us Please address comments and questions concerning this book to the publisher: O’Reilly Media, ...

Acknowledgments I want to thank all those who helped to make this book a reality, in particular those ...

Part I. Python and Finance This part introduces Python for finance. It consists of three chapters: Chapter ...

Chapter 1. Why Python for Finance? Banks are essentially technology firms. — Hugo Banziger ...

What Is Python? Python is a high-level, multipurpose programming language that is used in a wide range ...

for marking code blocks instead of parentheses, brackets, or semicolons. Garbage collecting Python has automate ...

It is remarkable, and sometimes confusing to Python newcomers, that there are two major versions available, stil ...

text/code editor of choice to form the basic tool set for a Python development process. IPython is also s ...

comprises, among others, the following libraries: NumPy NumPy provides a multidimensional array object to store ...

Technology in Finance Now that we have some rough ideas of what Python is all about, it makes sense ...

On the one hand, technology advances reduce cost over time, ceteris paribus. On the other hand, financial ...

time span of 30 years. This brings with it a number of challenges: Data processing It does not suffice ...

In the past, decision makers could rely on structured, regular planning, decision, and (risk) management proces ...