Python data science handbook: essential tools for working with data

Title: Python data science handbook: essential tools for working with data

Author: Jake VanderPlas

Subject: Data mining, Python

Description: IPython: beyond normal Python -- Introduction to NumPy -- Data manipulation with Pandas -- Visualization with Matplotlib -- Machine learning

Abstract: “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” -- Back cover

Publisher: O’Reilly Media, Inc.

Year of publication: 2017

ISBN: 9781491912058 (pbk.)