Dask Memory Management in 7 Minutes: An Introduction скачать в хорошем качестве

Dask Memory Management in 7 Minutes: An Introduction

In this video, Matt Rocklin gives a brief introduction to Dask Memory Management. You will learn about computation and memory management in Dask. We will also cover laziness, the persist compute methods, and futures. Notebook: https://gist.github.com/mrocklin/11b6... What is Dask? Dask is a free and open-source library for parallel computing in Python. Dask is a community project maintained by developers and organizations. Dask helps you scale your data science and machine learning workflows. Dask also makes it easy to work with Numpy, pandas, and Scikit-Learn. Where is Dask used? Dask is used in climate science, energy, hydrology, meteorology, and satellite imaging. Oceanographers produce massive simulated datasets of the earth's oceans. They couldn't even look at the outputs before Dask! What do you think of Dask Memory Management? Share your feedback with us in the comments and let us know: Did you find the video helpful in understanding Dask Memory Management? Have you used Dask before? Interested in learning more about Dask? You can find documentation and more at dask.org If you're interested in more videos just like this one on Dask Memory Management, you can also check out our playlist called "Getting Started with Dask" here:    • Getting Started with Dask