Jake Vanderplas Python Data Science Handbook (Paperback)

$ 37.96

Item Length: 9.3 in Publication Name: Python Data Science Handbook : Essential Tools for Working with Data Item Width: 7.8 in Number of Pages: 588 Pages Release Year: 2022 Item Weight: 35.3 Oz Author: Jake Vanderplas Release Date: 12/31/2022 gtin13: 9781098121228 Language: English ISBN: 9781098121228 Book Title: Python Data Science Handbook EAN: 9781098121228 Genre: Computing & Internet Publisher: O'reilly Media, Incorporated Publication Year: 2023 Format: Trade Paperback Subtitle: Essential Tools for Working with Data Item Height: 1.2 in Type: Textbook Subject: Data Modeling & Design, Programming / Open Source, General, Programming Languages / Python Subject Area: Mathematics, Computers Country of Origin: US

Description

Further Details Title: Python Data Science Handbook Condition: New Subtitle: Essential Tools for Working with Data Author: Jake Vanderplas Format: Paperback EAN: 9781098121228 ISBN: 9781098121228 Publisher: O'Reilly Media Genre: Computing & Internet Topic: Science Nature & Math Release Date: 12/31/2022 Description: 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 arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms Language: English Country/Region of Manufacture: US Item Height: 233mm Item Length: 178mm Item Width: 30mm Item Weight: 925g Release Year: 2022 Missing Information? Please contact us if any details are missing and where possible we will add the information to our listing.

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