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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

Who this book is for

This book is for people with basic knowledge of Python and Mathematics who want to learn how to use Python software to analyze data. We try to keep things simple, but it's not possible to cover all the topics in great detail. It may be useful for you to refresh your knowledge of Mathematics via Khan Academy, Coursera, or Wikipedia.

I would recommend the following books by Packt Publishing for further reading:

Building Machine Learning Systems with Python, Willi Richert and Luis Pedro Coelho (2013)
Learning Cython Programming, Philip Herron (2013)
Learning NumPy Array, Ivan Idris (2014)
Learning scikit-learn: Machine Learning in Python, Raúl Garreta and Guillermo Moncecchi (2013)
Learning SciPy for Numerical and Scientific Computing, Francisco J. Blanco-Silva (2013)
Matplotlib for Python Developers, Sandro Tosi (2009)
NumPy Beginner's Guide - Second Edition, Ivan Idris (2013)
NumPy Cookbook, Ivan Idris (2012)
Parallel Programming with Python, Jan Palach (2014)
Python Data Visualization Cookbook, Igor Milovanović (2013)
Python for Finance, Yuxing Yan (2014)
Python Text Processing with NLTK 2.0 Cookbook, Jacob Perkins (2010)

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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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