MARC details
000 -LEADER |
fixed length control field |
02259cam a2200313Ii 4500 |
CONTROL NUMBER |
control field |
1005140249 |
DATE AND TIME OF LATEST TRANSACTION |
control field |
20190411094216.0 |
PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr cnu|||unuuu |
FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
171003s2018 cau o 001 0 eng d |
INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789352136414 |
SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)1005140249 |
Canceled/invalid control number |
(OCoLC)1005196317 |
-- |
(OCoLC)1008639560 |
SOURCE OF ACQUISITION |
Stock number |
7B9FDAC1-3C9F-458A-9A81-766B38EAFEC3 |
Source of stock number/acquisition |
OverDrive, Inc. |
Note |
http://www.overdrive.com |
CATALOGING SOURCE |
Original cataloging agency |
TEFOD |
Language of cataloging |
eng |
Description conventions |
rda |
-- |
pn |
Transcribing agency |
TEFOD |
Modifying agency |
TEFOD |
-- |
OCLCF |
-- |
YDX |
-- |
N$T |
LOCAL HOLDINGS (OCLC) |
Holding library |
BNYC |
LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.73.P98 |
SUBJECT CATEGORY CODE |
Subject category code |
COM |
Subject category code subdivision |
051360 |
Source |
bisacsh |
DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.262P |
Edition number |
23 |
Item number |
MCK |
MAIN ENTRY--PERSONAL NAME |
Personal name |
McKinney, Wes, |
Relator term |
author. |
TITLE STATEMENT |
Title |
Python for data analysis : |
Remainder of title |
data wrangling with Pandas, NumPy, and IPython / |
Statement of responsibility, etc |
Wes McKinney. |
EDITION STATEMENT |
Edition statement |
2nd ed. |
PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Mumbai : |
Name of publisher, distributor, etc |
Shroff Publishers & Distributors, |
Date of publication, distribution, etc |
2018. |
PHYSICAL DESCRIPTION |
Extent |
xvi, 522 p. |
GENERAL NOTE |
General note |
Includes index. |
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.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 IPython shell and Jupyter notebook for exploratory computingLearn basic and advanced features in NumPy (Numerical Python)Get started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples. |
SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Python (Computer program language) |
SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Programming languages (Electronic computers) |
SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining. |
ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Item type |
Books |