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Python Data Analysis, Second Edition

You're reading from Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787127487

Length 330 pages

Edition 2nd Edition

Languages

Python

Tools

Scikit-learn

Concepts

Data Analysis

Author (1):

Ivan Idris

View More author details

Table of Contents (16) Chapters

Preface

1. Getting Started with Python Libraries FREE CHAPTER

2. NumPy Arrays

3. The Pandas Primer

4. Statistics and Linear Algebra

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

Summary

We looked over the borders of Python in this chapter. Outside the Python ecosystem, programming languages such as R, C, Java, and Fortran are fairly popular. We looked at libraries that provide glue to connect Python with external code, rpy2 for R, SWIG and Boost for C, JPype for Java, and f2py for Fortran. Cloud computing aims to deliver computing power as a utility over the Internet. A brief overview of PythonAnywhere--a Cloud computing services specialized in Python was also given.

The next chapter, Chapter 12, Performance Tuning, Profiling, and Concurrency, gives hints on improving performance. Typically, we can speed up Python code by optimizing our code using parallelization or rewriting parts of our code in C. We will also discuss several profiling tools and concurrency APIs.

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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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