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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

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787127487
Length 330 pages
Edition 2nd Edition
Languages
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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 (16) Chapters Close

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

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "It may be necessary to prepend sudo to this command if your current user doesn't have sufficient rights on your system."

A block of code is set as follows:

def pythonsum(n): 
   a = list(range(n)) 
   b = list(range(n)) 
   c = [] 
 
   for i in range(len(a)): 
       a[i] = i ** 2 
       b[i] = i ** 3 
       c.append(a[i] + b[i]) 
 
   return c

Any command-line input or output is written as follows:

$ pip3 install numpy scipy pandas matplotlib jupyter notebook

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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