Python data analytics : with Pandas, NumPy, and Matplotlib / Fabio Nelli.

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 dat...

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Bibliographic Details
Online Access: Full Text (via Skillsoft)
Main Author: Nelli, Fabio (Author)
Format: Electronic eBook
Language:English
Published: New York, NY : Apress, [2018]
Edition:Second edition.
Subjects:
Description
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 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.
Physical Description:1 online resource (xix, 569 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9781484239131
148423913X
Source of Description, Etc. Note:Description based on online resource; title from digital title page (viewed on June 26, 2023).