Skip to main content
SpringerLink
Log in
Apress
Book cover

Python Data Analytics

With Pandas, NumPy, and Matplotlib

  • Book
  • © 2018

Overview

Authors:
  1. Fabio Nelli

    1. Rome, Italy

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (14 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. An Introduction to Data Analysis

    • Fabio Nelli
    Pages 1-17

  3. Introduction to the Python World

    • Fabio Nelli
    Pages 19-48

  4. The NumPy Library

    • Fabio Nelli
    Pages 49-85

  5. The pandas Library—An Introduction

    • Fabio Nelli
    Pages 87-139

  6. pandas: Reading and Writing Data

    • Fabio Nelli
    Pages 141-180

  7. pandas in Depth: Data Manipulation

    • Fabio Nelli
    Pages 181-229

  8. Data Visualization with matplotlib

    • Fabio Nelli
    Pages 231-312

  9. Machine Learning with scikit-learn

    • Fabio Nelli
    Pages 313-347

  10. Deep Learning with TensorFlow

    • Fabio Nelli
    Pages 349-407

  11. An Example— Meteorological Data

    • Fabio Nelli
    Pages 409-443

  12. Embedding the JavaScript D3 Library in the IPython Notebook

    • Fabio Nelli
    Pages 445-471

  13. Recognizing Handwritten Digits

    • Fabio Nelli
    Pages 473-486

  14. Textual Data Analysis with NLTK

    • Fabio Nelli
    Pages 487-506

  15. Image Analysis and Computer Vision with OpenCV

    • Fabio Nelli
    Pages 507-535

  16. Back Matter

    Pages 537-569
    Download chapter PDF
Back to top

Keywords

About this book

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

Authors and Affiliations

  • Rome, Italy

    Fabio Nelli

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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation