December 2014
Intermediate to advanced
606 pages
13h 46m
English
Content preview from Python for FinanceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Part II. Financial Analytics and Development
This part of the book represents its core. It introduces the most important Python libraries, techniques, and approaches for financial analytics and application development. The sheer number of topics covered in this part makes it necessary to focus mainly on selected, and partly rather specific, examples and use cases.
The chapters are organized according to certain topics such that this part can be used as a reference to which the reader can come to look up examples and details related to a topic of interest. This core part of the book consists of the following chapters:
-
Chapter 4 on
Pythondata types and structures -
Chapter 5 on 2D and 3D visualization with
matplotlib - Chapter 6 on the handling of financial time series data
- Chapter 7 on (performant) input/output operations
- Chapter 8 on performance techniques and libraries
- Chapter 9 on several mathematical tools needed in finance
- Chapter 10 on random number generation and simulation of stochastic processes
-
Chapter 11 on statistical applications with
Python -
Chapter 12 on the integration of
PythonandExcel -
Chapter 13 on object-oriented programming with
Pythonand the development of (simple) graphical user interfaces (GUIs) -
Chapter 14 on the integration of
Pythonwith web technologies as well as the development of web-based applications and web services
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.