عنوان

Python data analytics :

(Number (ISBN

148423913X

(Number (ISBN

9781484239131

Erroneous ISBN

9781484239124

Title Proper

Python data analytics :

General Material Designation

[Book]

Other Title Information

with Pandas, NumPy, and Matplotlib /

First Statement of Responsibility

Fabio Nelli.

Edition Statement

Second edition.

Place of Publication, Distribution, etc.

New York, NY :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

[2018]

Specific Material Designation and Extent of Item

1 online resource (xix, 569 pages) :

Other Physical Details

illustrations

Text of Note

Includes bibliographical references.

Text of Note

An introduction to data analysis -- Introduction to the Python world -- The NumPy library -- The pandas library : an introduction -- Pandas : reading and writing data -- Pandas in depth : data manipulation -- Data visualization with matplotlib -- Machine learning with scikit-learn -- Deep learning with TensorFlow -- An example : meteorological data -- Embedding the JavaScript D3 library in the IPython notebook -- Recognizing handwritten digits -- Textual data analysis with NLTK -- Image analysis and computer vision with OpenCV -- Appendix A: Writing mathematical expressions with LaTeX -- Appendix B: Open data sources.

0

Text of Note

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 revision is fully updated with new content on 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, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data.

Source for Acquisition/Subscription Address

Safari Books Online

Stock Number

CL0501000002

International Standard Book Number

9781484239124

International Standard Book Number

9781484239148

Data mining.

Python (Computer program language)

COMPUTERS-- Programming Languages-- Python.

Data mining.

Python (Computer program language)

COM-- 051360

UMX

UMX

Number

Edition

Class number

Nelli, Fabio

Date of Transaction

20200823032423.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y