Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Python data analytics = with pandas, numpy, and matplotlib /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Python data analytics/ by Fabio Nelli.
Reminder of title:
with pandas, numpy, and matplotlib /
Author:
Nelli, Fabio.
Published:
Berkeley, CA :Apress : : 2023.,
Description:
xxi, 445 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
Python (Computer program language) -
Online resource:
https://doi.org/10.1007/978-1-4842-9532-8
ISBN:
9781484295328
Python data analytics = with pandas, numpy, and matplotlib /
Nelli, Fabio.
Python data analytics
with pandas, numpy, and matplotlib /[electronic resource] :by Fabio Nelli. - Third edition. - Berkeley, CA :Apress :2023. - xxi, 445 p. :ill., digital ;24 cm.
1. An Introduction to Data Analysis -- 2. Introduction to the Python's World -- 3. The NumPy Library -- 4. The pandas Library-- An Introduction -- 5. pandas: Reading and Writing Data -- 6. pandas in Depth: Data Manipulation -- 7. Data Visualization with matplotlib -- 8. Machine Learning with scikit-learn -- 9. Deep Learning with TensorFlow -- 10. An Example - Meteorological Data -- 11. Embedding the JavaScript D3 Library in IPython Notebook -- 12. Recognizing Handwritten Digits -- 13. Textual data Analysis with NLTK -- 14. Image Analysis and Computer Vision with OpenCV -- Appendix A -- Appendix B.
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis.
ISBN: 9781484295328
Standard No.: 10.1007/978-1-4842-9532-8doiSubjects--Topical Terms:
566246
Python (Computer program language)
LC Class. No.: QA76.73.P98
Dewey Class. No.: 005.133
Python data analytics = with pandas, numpy, and matplotlib /
LDR
:03168nam a2200337 a 4500
001
1116468
003
DE-He213
005
20230901185724.0
006
m d
007
cr nn 008maaau
008
240123s2023 cau s 0 eng d
020
$a
9781484295328
$q
(electronic bk.)
020
$a
9781484295311
$q
(paper)
024
7
$a
10.1007/978-1-4842-9532-8
$2
doi
035
$a
978-1-4842-9532-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.73.P98
072
7
$a
UMX
$2
bicssc
072
7
$a
COM051360
$2
bisacsh
072
7
$a
UMX
$2
thema
082
0 4
$a
005.133
$2
23
090
$a
QA76.73.P98
$b
N422 2023
100
1
$a
Nelli, Fabio.
$3
1068168
245
1 0
$a
Python data analytics
$h
[electronic resource] :
$b
with pandas, numpy, and matplotlib /
$c
by Fabio Nelli.
250
$a
Third edition.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2023.
300
$a
xxi, 445 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. An Introduction to Data Analysis -- 2. Introduction to the Python's World -- 3. The NumPy Library -- 4. The pandas Library-- An Introduction -- 5. pandas: Reading and Writing Data -- 6. pandas in Depth: Data Manipulation -- 7. Data Visualization with matplotlib -- 8. Machine Learning with scikit-learn -- 9. Deep Learning with TensorFlow -- 10. An Example - Meteorological Data -- 11. Embedding the JavaScript D3 Library in IPython Notebook -- 12. Recognizing Handwritten Digits -- 13. Textual data Analysis with NLTK -- 14. Image Analysis and Computer Vision with OpenCV -- Appendix A -- Appendix B.
520
$a
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis.
650
0
$a
Python (Computer program language)
$3
566246
650
0
$a
Data mining.
$3
528622
650
1 4
$a
Python.
$3
1115944
650
2 4
$a
Big Data.
$3
1017136
650
2 4
$a
Machine Learning.
$3
1137723
650
2 4
$a
Artificial Intelligence.
$3
646849
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-1-4842-9532-8
950
$a
Professional and Applied Computing (SpringerNature-12059)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login