Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách Scaling Python with Dask From Data Science to Machine Learning (sách keo gáy, bìa mềm)
Modern systems contain multi-core CPUs and GPUs that
have the potential for parallel computing. But many scientific Python
tools were not designed to leverage this parallelism. With this short
but thorough resource, data scientists and Python programmers will learn
how the Dask open source library for parallel computing provides APIs
that make it easy to parallelize PyData libraries including NumPy,
pandas, and scikit-learn.
Authors Holden Karau and Mika Kimmins
show you how to use Dask computations in local systems and then scale to
the cloud for heavier workloads. This practical book explains why Dask
is popular among industry experts and academics and is used by
organizations that include Walmart, Capital One, Harvard Medical School,
and NASA.
With this book, you'll learn:
• What Dask is, where you can use it, and how it compares with other tools
• How to use Dask for batch data parallel processing
• Key distributed system concepts for working with Dask
• Methods for using Dask with higher-level APIs and building blocks
• How to work with integrated libraries such as scikit-learn, pandas, and PyTorch
• How to use Dask with GPUs
Categories:Computers - Programming
Year:2023
Edition:1
Language:english
Pages: 226
Không có đánh giá!
Thêm đánh giá