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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

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Product type Paperback
Published in Oct 2014
Publisher
ISBN-13 9781783553358
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (17) Chapters Close

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

Summary

In this chapter, we installed NumPy, SciPy, matplotlib, and IPython that we will be using in tutorials. We got a vector addition program working and convinced ourselves that NumPy offers superior performance. In addition, we explored the available documentation and online resources.

In the next chapter, Chapter 2, NumPy Arrays, we will take a look under the hood of NumPy and explore some fundamental concepts including arrays and data types.

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Python Data Analysis
Published in: Oct 2014
Publisher:
ISBN-13: 9781783553358
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