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Python Data Analysis

You're reading from Python Data Analysis Learn how to apply powerful data analysis techniques with popular open source Python modules

Product type Paperback

Published in Oct 2014

Publisher

ISBN-13 9781783553358

Length 348 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Author (1):

Ivan Idris

View More author details

Table of Contents (17) Chapters

Preface

1. Getting Started with Python Libraries FREE CHAPTER

2. NumPy Arrays

3. Statistics and Linear Algebra

4. pandas Primer

5. Retrieving, Processing, and Storing Data

6. Data Visualization

7. Signal Processing and Time Series

8. Working with Databases

9. Analyzing Textual Data and Social Media

10. Predictive Analytics and Machine Learning

11. Environments Outside the Python Ecosystem and Cloud Computing

12. Performance Tuning, Profiling, and Concurrency

A. Key Concepts

B. Useful Functions

C. Online Resources

Index

Index

A

affinity propagation
- clustering, performing with / Clustering with affinity propagation
Amdahl's law
- URL / Creating a process pool with multiprocessing
- about / Creating a process pool with multiprocessing
Anderson-Darling test
- about / Preprocessing
annotate() function / Legends and annotations
annotations
- about / Legends and annotations
Apache Cassandra
- about / Apache Cassandra
application
- writing, with NumPy arrays / A simple application
ARMA models
- about / ARMA models
- reference link / ARMA models
array() function
- about / Creating a multidimensional array
array shapes
- manipulating / Manipulating array shapes
array shapes, manipulating
- about / Manipulating array shapes
- arrays, stacking / Stacking arrays
- arrays, splitting / Splitting NumPy arrays
- NumPy array attributes / NumPy array attributes
- arrays, converting / Converting arrays
Artificial Neural Networks (ANN)
- about / Neural...

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Authors (1)

Idris

Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.

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