Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Python data analyticsdata analysis a...
~
Nelli, Fabio.
Python data analyticsdata analysis and science using Pandas, matplotlib, and the Python programming language /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Python data analyticsby Fabio Nelli.
Reminder of title:
data analysis and science using Pandas, matplotlib, and the Python programming language /
Author:
Nelli, Fabio.
Published:
Berkeley, CA :Apress :2015.
Description:
xxi, 337 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Python (Computer program language)
Online resource:
http://dx.doi.org/10.1007/978-1-4842-0958-5
ISBN:
9781484209585$q(electronic bk.)
Python data analyticsdata analysis and science using Pandas, matplotlib, and the Python programming language /
Nelli, Fabio.
Python data analytics
data analysis and science using Pandas, matplotlib, and the Python programming language /[electronic resource] :by Fabio Nelli. - Berkeley, CA :Apress :2015. - xxi, 337 p. :ill., digital ;24 cm.
Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. This book examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language. You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics. This book is an invaluable reference with its examples of storing and accessing data in a database; it walks you through the process of report generation; it provides three real world case studies or examples that you can take with you for your everyday analysis needs.
ISBN: 9781484209585$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-0958-5doiSubjects--Topical Terms:
215247
Python (Computer program language)
LC Class. No.: QA76.73.P98
Dewey Class. No.: 005.133
Python data analyticsdata analysis and science using Pandas, matplotlib, and the Python programming language /
LDR
:02529nmm a2200325 a 4500
001
475215
003
DE-He213
005
20160302141144.0
006
m d
007
cr nn 008maaau
008
160420s2015 cau s 0 eng d
020
$a
9781484209585$q(electronic bk.)
020
$a
9781484209592$q(paper)
024
7
$a
10.1007/978-1-4842-0958-5
$2
doi
035
$a
978-1-4842-0958-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.73.P98
072
7
$a
UMX
$2
bicssc
072
7
$a
UMC
$2
bicssc
072
7
$a
COM051010
$2
bisacsh
072
7
$a
COM010000
$2
bisacsh
082
0 4
$a
005.133
$2
23
090
$a
QA76.73.P98
$b
N422 2015
100
1
$a
Nelli, Fabio.
$3
702979
245
1 0
$a
Python data analytics
$h
[electronic resource] :
$b
data analysis and science using Pandas, matplotlib, and the Python programming language /
$c
by Fabio Nelli.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2015.
300
$a
xxi, 337 p. :
$b
ill., digital ;
$c
24 cm.
520
$a
Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. This book examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language. You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics. This book is an invaluable reference with its examples of storing and accessing data in a database; it walks you through the process of report generation; it provides three real world case studies or examples that you can take with you for your everyday analysis needs.
650
0
$a
Python (Computer program language)
$3
215247
650
0
$a
Data mining.
$3
184440
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
274102
650
2 4
$a
Computer Appl. in Administrative Data Processing.
$3
275283
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-0958-5
950
$a
Professional and Applied Computing (Springer-12059)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000119337
電子館藏
1圖書
電子書
EB QA76.73.P98 N422 2015
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-1-4842-0958-5
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login