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Python Data Science Handbook : Essential Tools for Working with Data by Jacob T. Vanderplas; Jake VanderPlas is a nonfiction available to read on EtoBox.

What is Python Data Science Handbook : Essential Tools for Working with Data about?

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 effi

Who reads Python Data Science Handbook : Essential Tools for Working with Data?

Author

Jacob T. Vanderplas; Jake VanderPlas

Publisher

O'Reilly Media, Incorporated

Published

2016

Language

EN

ISBN

9785446109142

Category

nonfiction

Subjects

Science, Language Learning, Computer Science

Rating

4.03 / 5 (31 ratings)

Updated

2026-03-14