Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Learn data analysis with Pythonlesso...
~
Henley, A.J.
Learn data analysis with Pythonlessons in coding /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Learn data analysis with Pythonby A.J. Henley, Dave Wolf.
Reminder of title:
lessons in coding /
Author:
Henley, A.J.
other author:
Wolf, Dave.
Published:
Berkeley, CA :Apress :2018.
Description:
ix, 97 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Python (Computer program language)
Online resource:
http://dx.doi.org/10.1007/978-1-4842-3486-0
ISBN:
9781484234860$q(electronic bk.)
Learn data analysis with Pythonlessons in coding /
Henley, A.J.
Learn data analysis with Python
lessons in coding /[electronic resource] :by A.J. Henley, Dave Wolf. - Berkeley, CA :Apress :2018. - ix, 97 p. :ill., digital ;24 cm.
1. How to Use This Book -- 2. Getting Data into and out of Python -- 3. Preparing Data is Half the Battle -- 4. Finding the Meaning -- 5. Visualizing Data -- 6. Practice Problems.
Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it. Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects. If you aren't using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. You will: Get data into and out of Python code Prepare the data and its format Find the meaning of the data Visualize the data using iPython.
ISBN: 9781484234860$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-3486-0doiSubjects--Topical Terms:
215247
Python (Computer program language)
LC Class. No.: QA76.73.P98
Dewey Class. No.: 005.133
Learn data analysis with Pythonlessons in coding /
LDR
:02147nmm a2200289 a 4500
001
532100
003
DE-He213
005
20180222142242.0
006
m d
007
cr nn 008maaau
008
181113s2018 cau s 0 eng d
020
$a
9781484234860$q(electronic bk.)
020
$a
9781484234853$q(paper)
024
7
$a
10.1007/978-1-4842-3486-0
$2
doi
035
$a
978-1-4842-3486-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.73.P98
082
0 4
$a
005.133
$2
23
090
$a
QA76.73.P98
$b
H514 2018
100
1
$a
Henley, A.J.
$3
798249
245
1 0
$a
Learn data analysis with Python
$h
[electronic resource] :
$b
lessons in coding /
$c
by A.J. Henley, Dave Wolf.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
ix, 97 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. How to Use This Book -- 2. Getting Data into and out of Python -- 3. Preparing Data is Half the Battle -- 4. Finding the Meaning -- 5. Visualizing Data -- 6. Practice Problems.
520
$a
Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it. Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects. If you aren't using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. You will: Get data into and out of Python code Prepare the data and its format Find the meaning of the data Visualize the data using iPython.
650
0
$a
Python (Computer program language)
$3
215247
650
0
$a
Programming languages (Electronic computers)
$3
184586
650
0
$a
Data mining.
$3
184440
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Python.
$3
763308
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
275288
650
2 4
$a
Big Data.
$3
760530
650
2 4
$a
Big Data/Analytics.
$3
742047
700
1
$a
Wolf, Dave.
$3
798248
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-3486-0
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
000000152981
電子館藏
1圖書
電子書
EB QA76.73.P98 H514 2018 2018
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-1-4842-3486-0
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login