Rathausstrasse 7579  66333 Voelklingen  Germany
S yves.hilpisch  E contact [at] dyjh [dot] de  @dyjh
This Web site is maintained by The Python Quants GmbH. Read the Imprint.
A Pythonbased Guide
My new book in the making. Get in touch
You find current Notebooks and Python snippets and pieces
under my public folder of the Python Quant Platform
http://web.quantplatform.com/trial/yves/
I recently put together a tutorial on doing
"Serious Things with the Raspberry Pi".
You find it under http://hilpisch.com/rpi/index.html
Thanks to all attendees and sponsors who made the first For Python Quants conference in London such a great event. Also a big thank you to CQF Institute and Fitch Learning who helped organize it and who provided an excellent venue.
Slides of my talk Browserbased, collaborative Financial & Derivatives Analytics.
Links to slides and other relevant links for my PyData talk:
I am founder and managing partner of
The Python Quants GmbH.
I am author of the books Python for Finance and
Derivatives Analytics with Python.
I am a lecturer for computational finance
at Saarland University where I received my Ph.D..
I am also lecturing at the CQF Program.
I am organizer of the meetups Python for Quant Finance in London
and Python for Big Data Analytics in Berlin.
At The Python Quants GmbH we have four main offerings:
All a Python Quant needs in a single place: your browser.
Free trials in 30 seconds. Visit http://quantplatform.com
The Python Quant Platform allows
browserbased, interactive, collaborative financial analytics:
The following are documents about the Python Quant PLatform:
Python Quant Platform  Python Big Data Platform (more examples)
The Python Quant Platform is a 3rd generation data analytics technology:
The Python Quant Platform packages all tools needed to do
collaborative data analytics and application development
on every kind of infrastructure.
In QIV of 2013, we started developing DX Analytics,
a Pythonic derivatives analytics library.
Visit http://dxanalytics.com and http://github.com/yhilpisch/dx.

We recently open sourced DX Analytics and hope to establish a standard in the Python ecosystem for derivatives and risk analytics with this library soon.
Visit http://dxanalytics.com and http://github.com/yhilpisch/dx.
Some unique features of our analytics suite DEXISION:
Watch the 2 min Video to see how it works.
Visit www.derivativesanalytics.com to learn more.
Visit also our group's Web site http://pythonquants.com.
Analyze Big Financial Data.
My recent book:
Visit the book's page to learn more.
My book about advanced derivatives analytics with Python:
Data Analysis, Models, Calibration, Simulation and Hedging.
Visit the book's page to learn more.
My talk and tutorial at the For Python Quants conference
in New York City on 14. March 2014 (PiDay):
PyData London on 21. February 2014:
"Interactive Financial Analytics with Python & IPython
– With Examples based on the VSTOXX Volatility Index"
Talks and tutorials during the fourth quarter of 2014:
Talks and tutorials during the third quarter of 2014:
Talks and tutorials during the third quarter of 2014:
Talks and tutorials during the third quarter of 2014:
Talks and tutorials during the second quarter of 2014:
In the first quarter of 2014, I have given the following talks/tutorials:
In 2013, I have participated in the following conferences:
Pycon DE in 2013 took place in Cologne, Germany.
I have given three talks there:
In 2013, I have also participated in the following conferences:
These are the main tools for Rapid Financial Engineering with Python:
Topics of my university lecture are: market stylized facts, volatility concepts, riskneutral pricing, Fourierbased option pricing, stochastic volatility, jumps, stochastic short rates, calibration, Monte Carlo simulation, hedging.
Visit the Lecture Web site to download slides, Python scripts and other material.
Just google me to find slides and videos.
Apart from Python and Finance, Martial Arts are my passion.
I am actively practicing
WingTsun and
Luta Livre/MMA.
Dr. Yves J. Hilpisch
Rathausstrasse 7579  66333 Voelklingen  Germany
S yves.hilpisch  E contact [at] dyjh [dot] de  @dyjh
This Web site is maintained by The Python Quants GmbH.
Read the Imprint.
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