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Python Data Analytics

With Pandas, NumPy, and Matplotlib

Fabio Nelli

Apress
Publication date : 2023-09-01

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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

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About the book

Author

Fabio Nelli

Imprint

Apress

Collection

n.c

Publication date

2023-09-01

Pages

445 pages

Print ISBN

9781484295311

Language

English

Ebook informations

EAN PDF

9781484295328

Price

£54.99

Copy count 4

Print count 44

File size 23491 Ko

Informations accessibility

EAN EPUB

9781484295328

Price

£54.99

Copy count 4

Print count 44

File size 42619 Ko

Informations accessibility

Compatibility

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About author(s)

Fabio Nelli

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