At this month's Full Stack Quants, we'll be enjoying a talk based around example code in python 2 and 3, we see how multithreading and asynchronous I/O can be used to do more in less time. Don't miss it!
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Asynchronous: doing more than one thing at a time in Python
Jack Grahl works on software testing, QA and delivery for PrismFP Analytics. His mission is to enable a team developing sophisticated data proccessing and analytics software in Python and R to move fast without breaking too much stuff. He studied Mathematics at UCL and gained a PhD in Probability and Measure Theory. He has previously worked as a quantitative analyst and written code in C#, Perl, Python and C++ for hedge funds and financial software companies.