Fundamentals of Dask Transcripts
Chapter: Next Steps
Lecture: Whats next
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With that We come to the end of this course. We hope that you found it helpful and have started tinkering with Dask yourself to recap
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we covered many concepts in this course. We covered Dask Arrays, Dask Delayed, Dask Bag,
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Dask Schedulers and Dask-ML with a brief introduction to scaling to the cloud. This is just the tip of the iceberg.
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We have covered the fundamental topics to help you kick start your Dask and scalable data science journey but there is so much more to Dask.
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For example, there are many advanced Dask concepts that give you finer control over your
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computations. We looked at Coiled cloud but there are many ways to deploy Dask.
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One of Dask superpowers is how well it can work with other tools and there
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is so much to discuss their if you'd like to continue learning and seriously who wouldn't
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Dasks official documentation is one of the best resources followed closely by Dasks examples Repository. If you look up task on GIT hub,
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you'll notice that Dask has numerous sub projects maintained by different teams. Some of these projects have their own documentation,
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which is also worth checking out. As you can see. This is a huge community effort and would like to thank
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all the Dask contributors for maintaining and improving this amazing project.
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Thank you for taking this journey with us and we hope to see you around in all the Dask spaces. Happy scaling!.