Python for Data Analysis: (Record no. 40042)
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000 -LEADER | |
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fixed length control field | 01918nam a22002657a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20241205134838.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 241126b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789355421906 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | AKCL |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 003.133 |
Item number | MCK-P3 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | McKinney, Wes |
245 ## - TITLE STATEMENT | |
Title | Python for Data Analysis: |
Remainder of title | Data Wrangling with pandas NumPy and Jupyter / |
Statement of responsibility, etc. | by Wes McKinney |
250 ## - EDITION STATEMENT | |
Edition statement | 3rd Ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Mumbai: |
Name of publisher, distributor, etc. | Shroff publishers and Distributors, |
Date of publication, distribution, etc. | 2022 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | p.561 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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 Jupyter 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 groupby 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 or geographic name entry element | Computer Science |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Systems Theory |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | System Identification |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Books |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Suppress in OPAC | No |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | ARCHBISHOP KAVUKATTU CENTRAL LIBRARY | ARCHBISHOP KAVUKATTU CENTRAL LIBRARY | 11/26/2024 | 1800.00 | 003.133 MCK-P3 | 69192 | 11/26/2024 | 1800.00 | 11/26/2024 | Books |