Python Data Analytics : With Pandas, NumPy, and Matplotlib

Fabio Nelli

ISBN 10: 1484295315 / ISBN 13: 9781484295311

Published by Apress, Apress, 2023

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 manipulationAuthor 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 Editionis an invaluable reference with its examples of storing, accessing, and analyzing data.What You'll LearnUnderstand the core concepts of data analysis and the Python ecosystemGo in depth with pandas for reading, writing, and processing dataUse tools and techniques for data visualization and image analysisExamine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorchWho This Book Is ForExperienced Python developers who need to learn about Pythonic tools for data analysis.

Seller Inventory # 9781484295311

Bibliographic Details

• Title: Python Data Analytics : With Pandas, NumPy, and Matplotlib
• Publisher: Apress, Apress
• Publication Date: 2023
• Language: English
• ISBN 10: 1484295315
• ISBN 13: 9781484295311
• Binding: Taschenbuch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 254W x 178H x 26D millimeters 254 millimeters width by 178 millimeters height by 26 millimeters depth
• Weight: 873 grams

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 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

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.