Python Data Analytics: With Pandas, NumPy, and Matplotlib

Nelli, Fabio

ISBN 10: 1484239121 / ISBN 13: 9781484239124

Published by Apress, 2018

About this Item

LIGHTNING FAST SHIPPING! A heavily used, but still working copy. Coffee stain and wrinkling to the edge of the pages when a tired undergrad fell asleep and knocked their cup over on their books. The binding and pages of the book have been reinforced with tape, has tape and stickers on the cover, as well as lots of notes (some of the answers in the learning activities may be filled in) on the pages. Definitely not pretty, but it's a working copy at a great price that ships fast. ~ Book does NOT contain an access code or CD/DVD. Seller Inventory # #191E-00019

Bibliographic Details

Title: Python Data Analytics: With Pandas, NumPy, ...

Publisher: Apress

Publication Date: 2018

Binding: Soft cover

Condition: Acceptable

Edition: 2nd Edition

About this title

Synopsis:

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

About the Author:

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.