Description: Python Data Science Handbook : Essential Tools for Working With Data, Paperback by Vanderplas, Jake, ISBN 1098121228, ISBN-13 9781098121228, Like New Used, Free shipping in the US 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. With this handbook, you'll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms
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Book Title: Python Data Science Handbook : Essential Tools for Working With D
Number of Pages: 500 Pages
Language: English
Publication Name: Python Data Science Handbook : Essential Tools for Working with Data
Publisher: O'reilly Media, Incorporated
Publication Year: 2023
Item Height: 1.3 in
Subject: Data Modeling & Design, Programming / Open Source, General, Programming Languages / Python
Type: Textbook
Item Weight: 36 Oz
Item Length: 9.1 in
Subject Area: Mathematics, Computers
Author: Jake Vanderplas
Item Width: 7.1 in
Format: Trade Paperback
