Asynchronous: doing more than one thing at a time in Python
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!
YOU MAY ALSO LIKE:
- Damjan Vujnovic's Advanced JavaScript Workshop (in London on 15th - 17th July 2019)
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- Inspire creation with technology such as the Raspberry Pi over a pint. (in London on 26th February 2019)
Thanks to our sponsors
Asynchronous: doing more than one thing at a time in Python
Jack Grahl
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.
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SkillsCast
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!
YOU MAY ALSO LIKE:
- Damjan Vujnovic's Advanced JavaScript Workshop (in London on 15th - 17th July 2019)
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- Inspire creation with technology such as the Raspberry Pi over a pint. (in London on 26th February 2019)
Thanks to our sponsors
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About the Speaker
Asynchronous: doing more than one thing at a time in Python
Jack Grahl
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.