Scale your team with Python fundamentals training.

Whether you are a start-up building up your technical team or an established organization looking at training more software developers skilled in the Python programming language, a 2-day Python fundamentals training course will help you speed up your skills-and-know-how acquisition plans.

Python for science and engineering domains.

ArcGIS, Matlab, SPSS and R languages are the usual tools used by scientists for GIS, mapping purposes, hypothesis modeling, simulation and statistical analysis.

Python, in recent years, has matured and is a formidable toolset in its own right and with the advantage of being open source and a generic tool that helps scientists and engineers create live, production ready software applications. If your research and engineering team has not yet acquired Python as part of your institutional memory, it's time to seriously consider.

Financial analysis with Python.

Numpy, Scipy, IPython and the numerical analysis library pandas are gaining rapid mindshare with scientists, engineers, statisticians and financial quants.

As a rapid prototyping and numerical modelling and data manipulation tool, Python fits in perfectly with the rapid pace expected of financial traders and financial professionals dealing with fast changing datasets from various stock exchange. Fast prototyping without sacrificing compatibility with existing C and C++ toolsets.