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عنوان
Python for data analysis /

پدید آورنده
Wes McKinney

موضوع
Data mining,Programming languages (Electronic computers),Python (Computer program language)

رده
QA76
.
73
.
P98
M42
2013

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1449319793
(Number (ISBN
9781449319793

NATIONAL BIBLIOGRAPHY NUMBER

Number
b430741

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Python for data analysis /
General Material Designation
[Book]
First Statement of Responsibility
Wes McKinney

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xiii, 452 pages :
Other Physical Details
illustrations ;
Dimensions
24 cm

GENERAL NOTES

Text of Note
Includes index

CONTENTS NOTE

Text of Note
Preliminaries -- Introductory examples -- IPython : an interactive computing and development environment -- NumPy basics : arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data wrangling : clean, transform, merge, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Financial and economic data applications -- Advanced NumPy -- Appendix: Python language essentials
0

SUMMARY OR ABSTRACT

Text of Note
Serves as an introduction to Python for data-intensive applications

TOPICAL NAME USED AS SUBJECT

Data mining
Programming languages (Electronic computers)
Python (Computer program language)

DEWEY DECIMAL CLASSIFICATION

Number
005
.
13/3
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
73
.
P98
Book number
M42
2013

PERSONAL NAME - PRIMARY RESPONSIBILITY

McKinney, Wes

ORIGINATING SOURCE

Date of Transaction
20150609114957.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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