Working with real-time data streams in Python
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An increasing number of devices and applications are producing vast amounts of data in real time. This can include measurements, sensor readings, and performance data.
Making this data useful often requires that we analyse and use the data in real time but this requires techniques to aggregate, filter, and smooth the data. Drawing on simple and well-tested techniques from mathematics and engineering allows us to solve these problems quickly and efficiently.
This talk will describe how Python can be used to develop powerful capabilities for working with real-time data streams and provide simple examples you can start using yourself.
Lachlan Blackhall
Lachlan is the Co-founder and Chief Technology Officer of Reposit Power (http://repositpower.com/), an energy startup using big data to drive the deployment of energy storage in the electricity grid. Lachlan is an experienced Python developer having used Python extensively in both commercial and personal projects.
Commercially, Lachlan has developed and implemented Python-based data collection and analytics strategies and systems across the energy, telecommunications, consumer goods, and government sectors for organisations including The Nielsen Company, Coca Cola Australia, and CSIRO. Lachlan holds a PhD in applied mathematics and network theory and has a broad professional interest in big data and predictive analytics.
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