Python for data analysis: data wrangling with pandas, numpy, and ipython (Record no. 311)

MARC details
000 -LEADER
fixed length control field 01999nam a2200217Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250307123652.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230228s2019||||xx |||||||||||||| ||eng||
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789352136414
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133 M15, 2
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name McKinney, Wes
Relator term Author
245 #0 - TITLE STATEMENT
Title Python for data analysis: data wrangling with pandas, numpy, and ipython
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Navi Mumbai:
Name of publisher Shroff Publishers & Distributors PVT LTD,
Year of publication 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xvi, 522p.;21cms.
500 ## - GENERAL NOTE
General note All Indian Reprints of O'Reilly titles are printed in Greyscale.<br/>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 latest versions of pandas, NumPy, IPython, and Jupyter in the process.<br/><br/>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.<br/><br/>Use the IPython shell and Jupiter notebook for exploratory computing<br/>Learn basic and advanced features in NumPy (Numerical Python)<br/>Get started with data analysis tools in the pandas library<br/>Use flexible tools to load, clean, transform, merge, and reshape data<br/>Create informative visualizations with matplotlib<br/>Apply the pandas group by facility to slice, dice, and summarize datasets<br/>Analyze and manipulate regular and irregular time series data<br/>Learn how to solve real-world data analysis problems with thorough, detailed examples.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Science
General subdivision Data Analysis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Science
General subdivision Programming Language
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Informative visualizations with matplotlib
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
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        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 005.133 M1584, 2 1980 1 Books  
        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 005.133 M1584, 2:1 1981 2 Books  
        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 005.133 M1584, 2:2 1982 3 Books  
        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 005.133 M1584, 2:3 1983 4 Books  
        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 005.133 M1584, 2:4 1984 5 Books  
        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 005.133 M1584, 2:5 2016 6 Books  
        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 005.133 M1584, 2:6 2017 7 Books  
        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 005.133 M1584, 2:7 2018 8 Books  
      Not For Loan Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library Textbook 005.133 M1584, 2:8 2019 9 Textbook Text Book
      Not For Loan Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library Reference 005.133 M1584, 2:9 2020 10 Reference Reference

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