Speed Up Your Data Processing: Parallel and Asynchronous Programming in Data Science


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Constantly waiting for your data processing code to finish executing? Through real-life stories and analogies, we will explore how to leverage on parallel and asynchronous programming in Python to speed up your data processing pipelines - so that you could focus more on getting value out of your data.


Chin Hwee Ong

Chin Hwee Ong is a data engineer, aspiring polymath and Industry 4.0 enthusiast who happens to have a background in aerospace engineering and computational modelling. As an avid user of the pandas library and a beneficiary of open source, Chin Hwee enjoys sharing about data manipulation using pandas and has a not-so-secret wish for data processing codes to run faster.