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Data Science at Scale with Python and Dask

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Data Science at Scale with Python and Dask teaches you how to build distributed data projects that can handle huge amounts of data. You'll begin with an introduction to the Dask framework, concentrating on how Dask related to commonly-used Python tools like Numpy and Pandas.

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Data Science at Scale with Python and Dask

  1. 1. Crunching Data with Dask With Data Science at Scale with Python and Dask—take 42% off with code sldaniel at manning.com
  2. 2. Take data analysis to a new level If you’re doing data analysis, then you know that at a certain point you will need to introduce parallelism to handle the workload. Data Science at Scale with Python and Dask teaches you how to build distributed data projects that can handle huge amounts of data.
  3. 3. Large-scale Data analysis with Python Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. It's built to help you parallelize your data tasks on a stand- alone system or a cluster without radically changing the way you work.
  4. 4. Everything you need to know Data Science at Scale with Python and Dask teaches you what you need to know to get the most out of your data. You’ll learn all the tools and how they work with Dask as well as how to make graphs and visualizations.
  5. 5. Learn from a data science expert The author has five years of experience writing applications in Python, including three years working with in the PyData stack He currently teaches a Python for Data Science course at the University of Denver and is an adjunct professor of business information and analytics.
  6. 6. If you want to learn more, read the first chapter of Data Science at Scale with Python and Dask here. Get Data Science at Scale with Python and Dask for 42% off with code sldaniel at manning.com

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