This Parallel Python workshop is designed to teach cutting edge techniques for working with big data and processing data in parallel using Python, and is suitable for all participants who want to enhance their data science capabilities.
Python is one of the most used programming languages worldwide with applications in almost every data-oriented application domain. The Python data science ecosystem is a rich platform for scaling up workflows, enhancing scientific research and improving insight. However, Python can be performance limited when large datasets or challenging computations are required. Parallel computing and efficient data handling can overcome this barrier, enhancing research throughput.
Please visit this page for more information about the course: https://opus.nci.org.au/display/Help/Parallel+Python