Parallelism in Python
Blog|by Leanne Bevan|16 April 2019
Grey Matter teamed up with fellow Intel partner, Bayncore, to deliver a technical webinar about how Python programmers can maximise their code, enhancing performance using methods such as parallelism and profiling with Intel Parallel Studio XE.
It used to be the case that you would never use the words ‘high performance’ and ‘Python’ in the same sentence. The Intel distribution of Python changes all that. In this session we show how you can speed up your Python code using Intel’s distribution. We also show how you can parallelise your Python code, and how to use Intel Parallel Studio XE to profile and identify time-consuming bottlenecks.
As noted in some of our previous blogs, Python is fast becoming one of the most popular programming languages. Particularly for things like data science, web development, Machine Learning, AI and analytics.
Grey Matter is an Intel Software Elite Reseller. We can provide you with licensing and advise you on which edition would suit your needs best. Try out the free trials here.
Bayncore is an Intel Partner and delivers consultancy and training on code modernisation with Intel developer tools.
Blog updated on 02/05/2019
Contact Grey Matter
If you have any questions or want some extra information, complete the form below and one of the team will be in touch ASAP. If you have a specific use case, please let us know and we'll help you find the right solution faster.
By submitting this form you are agreeing to our Privacy Policy and Website Terms of Use.
