Python Data Analytics
With Pandas, NumPy, and Matplotlib
Authors: Nelli, Fabio
Download source code Free Preview- Fully revised and updated with the latest tools and techniques for data analysis with Python
- Includes three new chapters on social media analysis, image analysis with OpenCV, and deep learning
- Written by IT Scientific Application Specialist, Fabio Nelli
Buy this book
- About this book
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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 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
Experienced Python developers who need to learn about Pythonic tools for data analysis - Understand the core concepts of data analysis and the Python ecosystem
- About the authors
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Fabio Nelli is an IT Scientific Application Specialist at IRBM Science Park, a private research center in Pomezia, Roma, Italy. He has been a computer consultant for many years at IBM, EDS, Merck Sharp, and Dohme, along with several banks and insurance companies. He has an Organic Chemistry degree and many years of experience in Information technologies and Automation systems applied to Life Sciences (Tech Specialist at Beckman Coulter Italy and Spain). He is currently developing Java applications that interface Oracle databases with scientific instrumentation generating data and web server applications providing analysis of the results to researchers in real time.
- Table of contents (14 chapters)
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An Introduction to Data Analysis
Pages 1-17
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Introduction to the Python World
Pages 19-48
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The NumPy Library
Pages 49-85
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The pandas Library—An Introduction
Pages 87-139
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pandas: Reading and Writing Data
Pages 141-180
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Table of contents (14 chapters)
Bibliographic Information
- Bibliographic Information
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- Book Title
- Python Data Analytics
- Book Subtitle
- With Pandas, NumPy, and Matplotlib
- Authors
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- Fabio Nelli
- Copyright
- 2018
- Publisher
- Apress
- Copyright Holder
- Fabio Nelli
- eBook ISBN
- 978-1-4842-3913-1
- DOI
- 10.1007/978-1-4842-3913-1
- Softcover ISBN
- 978-1-4842-3912-4
- Edition Number
- 2
- Number of Pages
- XIX, 569
- Number of Illustrations
- 648 b/w illustrations
- Topics
