Python for data analysis

Rubriek: Textual/Printed/Reference Materials - Boek

Prijs: € 35.99

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Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

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Rating: 4.5 / 5
Prijs: 45.9 Nu voor: € 43.9

Get complete instructions for manipulating processing cleaning and crunching datasets in python updated for python 3 6 the second edition of this hands on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively you ll learn the l Uiterlijk 2 december in huis .. MEER INFO

Taal: en

Bindwijze: E-book

Oorspronkelijke releasedatum: 12 augustus 2022

Ebook Formaat: Epub zonder kopieerbeveiliging (DRM)

Illustraties: Nee

Hoofdauteur: Wes Mckinney

Hoofduitgeverij: O'Reilly Media

Lees dit ebook op: Desktop (Mac en Windows)

Lees dit ebook op: Kobo e-reader

Lees dit ebook op: Android (smartphone en tablet)

Lees dit ebook op: iOS (smartphone en tablet)

Lees dit ebook op: Windows (smartphone en tablet)

AI-gegenereerd: Nee

Editie: 3

Studieboek: Ja

eWaste: Nee

EAN: 9781098103989

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