Python Data Analytics

With Pandas, NumPy, and Matplotlib

Nonfiction, Computers, Database Management, Programming, Programming Languages, General Computing
Cover of the book Python Data Analytics by Fabio Nelli, Apress
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Author: Fabio Nelli ISBN: 9781484239131
Publisher: Apress Publication: September 27, 2018
Imprint: Apress Language: English
Author: Fabio Nelli
ISBN: 9781484239131
Publisher: Apress
Publication: September 27, 2018
Imprint: Apress
Language: English

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.

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

What You'll Learn

Who This Book Is For

Experienced Python developers who need to learn about Pythonic tools for data analysis

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