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Python data analytics : with Pandas, NumPy, and Matplotlib

Author: Fabio Nelli
Publisher: [Berkeley, California?] : Apress, New York, NY : Distributed by Springer Science + Business Media, [2018] ©2018
Series: Books for professionals by professionals.
Edition/Format:   Print book : English : Second editionView all editions and formats
Summary:
"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  Read more...
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Document Type: Book
All Authors / Contributors: Fabio Nelli
ISBN: 1484239121 9781484239124
OCLC Number: 1044835477
Notes: Previous edition has subtitle: data analysis and science using pandas, matplotlib and the Python programming language.
Description: xix, 569 pages : illustrations ; 25 cm
Contents: 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.
Series Title: Books for professionals by professionals.
Responsibility: Fabio Nelli.

Abstract:

"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', is an invaluable reference with its examples of storing, accessing, and analyzing data."--Page 4 of cover.

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