PyCon Balkan 2018 Talks
TLK PyCon Talk
Modelling dynamical systems in Python
causaLens is a platform that automatically builds time series/dynamic system models. It is a system built on the principles of big-data processing with high performance computing in mind and its fully implemented in Python.
Most of the today's world processes can be expressed in some form of a dynamic system and time series play a big role in representing the data that is generated by the mentioned processes. These processes are difficult to deal with as underlying distributions of the data, the models and system behaviour change over time. As such online, adaptive, on-the-fly dynamic calculations are key to effective model building.
When building online models, one also has to think hard about state, especially in the high-availability setting. In this talk we will take the audience through an exploration of how we build big-data, buffering, alignment and calculation processes in Python, utilizing Numpy and Tensorflow.