R and Python are excellent solutions for a wide range of statistical, analytical, and technical tasks.
Both are available under open-source licenses, are supported by a huge community and are improving rapidly.
One of their strengths lies in the availability of packages (like SciPy, NumPy, pandas, TensorFlow and Keras in python
or ggplot2, dplyr, and randomForest in R) and the powerful development environments and tools
(like RStudio, Jupyter Notebook, PyCharm and git).
R and Python cover a wide range of applications.
That makes it possible to for example,
In many cases a wide range of algorithms is available to build a solution. In many cases that includes the most recent developments from the scientific community which are often not yet available in other platforms.
We support you with all aspects regarding the use of R and Python – from selecting the right environment, over training your employees to developing new solutions tailored to your needs.
A solution ready for use in R or Python can be
Our team has the necessary experience to build enterprise-ready solutions. Together with you we will discuss and find the best way for your specific needs.
We assist you from qualification to implementation.
We educate you and your team.
We introduce the right software tools in your organization.
Good data is the foundation for successful projects.
Through analytics we enrich the data and generate insights.
Generation and distribution of results and deployment of applications.