RECENT CLIENT PROJECT

Visixion GmbH has developed and conducted a focused Python training for selected people at Eurex, one of the world's leading derivatives exchanges. The major goal is to replace in certain areas a heterogeneous IT infrastructure (including, amongst others, Matlab and R) by Python as the main programming environment. Requirements are increased productivity, fast development cycles, easy collaboration, easy-to-maintain solutions and high performance.

DEXISION In The Press

DEXISION mentioned in the March 2010 Cover Story of Wilmott Magazine as first Derivatives Analytics suite based on the Python programming language. Read the whole Story.

PyPhy 2011 — Automating Numerical Research with Python

On 29. August 2011, the Python in Physics (PyPhy) conference took place. An international group of researchers from diverse fields presented their use cases for Python in Physics and related areas. Dr. Yves Hilpisch gave a talk about potential approaches to automate numerical research projects—starting with a simple Monte Carlo simulation study, showing Python implementations and illustrating the automatic generation of Latex code.

The majority of researchers in natural sciences uses Latex to document, report and publish their research results. In the context of numerical studies, generally huge data sets are generated that have to be processed for analysis and later publication. The brief talk illustrates three simple, yet convenient, approaches to reduce manual work in the context of numerical research:

  • Python iterations over arbitrary lists
  • PyTables as a simple yet powerful database
  • functions to generate Latex code automatically

If you have questions regarding the documents below, please let us know via the contact form.

Here you find the set of documents about “Automating Numerical Research with Python”:

  1. Slides
  2. Paper (preliminary version)

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