Python For Data Analysis: Data Wrangling With Pandas, Numpy, And Jupyter, Third Edition (Grayscale Indian Edition)

Python For Data Analysis: Data Wrangling With Pandas, Numpy, And Jupyter, Third Edition (Grayscale Indian Edition)

$27.11
Sale price  $27.11 Regular price  $27.11
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Python For Data Analysis: Data Wrangling With Pandas, Numpy, And Jupyter, Third Edition (Grayscale Indian Edition)

Python For Data Analysis: Data Wrangling With Pandas, Numpy, And Jupyter, Third Edition (Grayscale Indian Edition)

$27.11
Sale price  $27.11 Regular price  $27.11
SKU: DADAX9355421907
ISBN: 9789355421906
Author: Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. Its 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
Publisher: Spd
Availability: In Stock
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DisclaimerShroff Publishers do not endorse the preview pages of kindle linked to our ISBNs. All Indian Reprints of OReilly are Printed in Grayscale.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. Youll 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. Its 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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