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#207 Parallelizing computation with Dask
What if you could write standard numpy and pandas code but have it run on a distributed computing grid for incredible parallel processing right from Python? How about just splitting it across multiprocessing to escape the limitations of the GIL on your local machine? That's what Dask was built to do.
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Wow, what a great podcast!This is currently one of my favorite podcasts. It's intelligent, informative, and is a treasure of not just Python programming, but programming in general. Keep up the good work! Thanks.
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Informative, addictive, and powerful!I have been following this podcast since awhile now and I have to say that Michael does a great job picking topics which listeners relate to and all the information is very much helpful for a person who is getting their feet wet in Python or an experienced developer. Each and every episode, I learn at least one thing that motivates me to change my day to day life. I am looking for more Python stuff and I would love Michael to continue with the same speed as he is going. Highly recommended for all Pythonistas.
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Talk Python to Me is a weekly podcast hosted by
Michael Kennedy.
The show covers a wide array of Python topics as well as
many related topics (e.g. MongoDB, AngularJS, DevOps).
The format is a casual 45 minute conversation with industry
experts.
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