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Python Data Science Handbook: Tools and Techniques for Developers

by Jake Vanderplas

  • Paperback
    $86.25
ISBN: 9781491912058
ANNOTATION:
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues.
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OTHER FORMATS:
  • Paperback
    $86.25
ISBN: 9781491912058
ANNOTATION:
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues.

Annotation

Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues.

Publisher Description

For many researchers, Python is a first-class tool mainly 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 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 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. With this handbook, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Author Biography

Jake VanderPlas is a long-time user and developer of the Python scientific stack. He currently works as an interdisciplinary research director at the University of Washington, conducts his own astronomy research, and spends time advising and consulting with local scientists from a wide range of fields.

Product Details

Author
Jake Vanderplas
Short Title
PYTHON DATA SCIENCE HANDBK
Publisher
O'Reilly Media
Language
English
ISBN-10
1491912057
ISBN-13
9781491912058
Media
Book
Format
Paperback
Year
2016
Pages
500
Publication Date
2016-12-06
Country of Publication
United States
Subtitle
Essential Tools for Working with Data
Audience
Professional and Scholarly