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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

View More author details

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

Appendix B. Function Reference

This appendix is a short reference of functions not meant as exhaustive documentation, but as an extra aid in case you are temporarily unable to look up the documentation. These functions are organized by package for various libraries.

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83

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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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