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Python Data Science Handbook

About Python Data Science Handbook

"Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python."--Publisher marketing.

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  • Language:
  • English
  • ISBN:
  • 9781098121228
  • Binding:
  • Paperback
  • Pages:
  • 550
  • Published:
  • December 31, 2022
  • Edition:
  • 23002
  • Dimensions:
  • 177x32x233 mm.
  • Weight:
  • 1030 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 26, 2024
Extended return policy to January 30, 2025
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Description of Python Data Science Handbook

"Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python."--Publisher marketing.

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