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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

About NLTK

NLTK is a Python API for the analysis of texts written in natural languages, such as English. NLTK was created in 2001 and was originally intended as a teaching tool.

Although we installed NLTK in the previous section, we are not done yet; we still need to download the NLTK corpora. The download is relatively large (about 1.8 GB); however, we only have to download it once. Unless you know exactly which corpora you require, it's best to download all the available corpora. Download the corpora from the Python shell as follows:

$ python3
>>> import nltk 
>>> nltk.download()

A GUI application should appear, where you can specify a destination and what file to download.

If you are new to NLTK, it's most convenient to choose the default option and download everything. In this chapter, we will need the stopwords, movie reviews, names, and Gutenberg corpora. Readers are encouraged to follow the sections in the ch-09.ipynb file.

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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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