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英文字典中文字典相关资料:


  • Dask — Dask documentation
    Dask Examples Dask YouTube Channel Additionally, we encourage you to look through the reference documentation on this website related to the API that most closely matches your application Dask was designed to be easy to use and powerful We hope that it’s able to help you have fun with your work
  • Dask | Scale the Python tools you love
    Dask is a flexible open-source Python library for parallel computing maintained by OSS contributors across dozens of companies including Anaconda, Coiled, SaturnCloud, and nvidia
  • 10 Minutes to Dask
    10 Minutes to Dask # This is a short overview of Dask geared towards new users There is much more information contained in the rest of the documentation High level collections are used to generate task graphs which can be executed by schedulers on a single machine or a cluster # We normally import Dask as follows:
  • Welcome to the Dask Tutorial
    Dask is a parallel and distributed computing library that scales the existing Python and PyData ecosystem Dask can scale up to your full laptop capacity and out to a cloud cluster
  • Dask Tutorial — Dask Tutorial documentation
    Quansight offers a number of PyData courses, including Dask and Dask-ML For a more comprehensive list of past talks and other resources see Talks Tutorials in the Dask documentation
  • Dask | Get Started
    Dask Tutorial This collection of Jupyter Notebooks, presented in the Dask Tutorial at SciPy, helps new users get started with Dask
  • Dask Examples — Dask Examples documentation
    Dask Examples These examples show how to use Dask in a variety of situations First, there are some high level examples about various Dask APIs like arrays, dataframes, and futures, then there are more in-depth examples about particular features or use cases You can run these examples in a live session here:
  • Dask Best Practices
    Dask Best Practices # It is easy to get started with Dask’s APIs, but using them well requires some experience This page contains suggestions for Dask best practices and includes solutions to common Dask problems This document specifically focuses on best practices that are shared among all of the Dask APIs Readers may first want to investigate one of the API-specific Best Practices
  • Why Dask? — Dask documentation
    Why Dask? # This document gives high-level motivation on why people choose to adopt Dask Python’s role in Data Science Dask has a Familiar API Dask Scales out to Clusters Dask Scales Down to Single Computers Dask Integrates Natively with Python Code Dask Supports Complex Applications Dask Delivers Responsive Feedback Links and More Information Python’s role in Data Science # Python has





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