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Python Data Analysis Cookbook

You're reading from Python Data Analysis Cookbook Clean, scrape, analyze, and visualize data with the power of Python!

Product type Paperback

Published in Jul 2016

Publisher

ISBN-13 9781785282287

Length 462 pages

Edition 1st Edition

Languages

Python

Concepts

Data Analysis

Author (1):

Ivan Idris

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Table of Contents (18) Chapters

Preface

1. Laying the Foundation for Reproducible Data Analysis FREE CHAPTER

2. Creating Attractive Data Visualizations

3. Statistical Data Analysis and Probability

4. Dealing with Data and Numerical Issues

5. Web Mining, Databases, and Big Data

6. Signal Processing and Timeseries

7. Selecting Stocks with Financial Data Analysis

8. Text Mining and Social Network Analysis

9. Ensemble Learning and Dimensionality Reduction

10. Evaluating Classifiers, Regressors, and Clusters

11. Analyzing Images

12. Parallelism and Performance

A. Glossary

B. Function Reference

C. Online Resources

D. Tips and Tricks for Command-Line and Miscellaneous Tools

Index

Chapter 5. Web Mining, Databases, and Big Data

On the menu for this chapter are the following recipes:

Simulating web browsing
Scraping the Web
Dealing with non-ASCII text and HTML entities
Implementing association tables
Setting up database migration scripts
Adding a table column to an existing table
Adding indices after table creation
Setting up a test web server
Implementing a star schema with fact and dimension tables
Using HDFS
Setting up Spark
Clustering data with Spark

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Authors (1)

Ivan Idris

Ivan 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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