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Python Data Mining Quick Start Guide

You're reading from  Python Data Mining Quick Start Guide

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789800265
Pages 188 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Nathan Greeneltch Nathan Greeneltch
Profile icon Nathan Greeneltch

Table of Contents (9) Chapters

Preface 1. Data Mining and Getting Started with Python Tools 2. Basic Terminology and Our End-to-End Example 3. Collecting, Exploring, and Visualizing Data 4. Cleaning and Readying Data for Analysis 5. Grouping and Clustering Data 6. Prediction with Regression and Classification 7. Advanced Topics - Building a Data Processing Pipeline and Deploying It 8. Other Books You May Enjoy

Launching the Spyder IDE

Spyder can be started by passing spyder into the Anaconda prompt as follows:

(base) $ spyder

As mentioned earlier, Spyder uses the IPython interactive console. So, you can pass code line-by-line directly into the console. See the following screenshot for two lines of Python code passed one at a time:

Alternatively, you can edit a script in the editor and execute by pressing the green play button at the top of the IDE. This causes the script to be dumped into the IPython console, then run line-by-line:

The interactive IPython console also can display images and plots inline in the same console window. This is yet another feature that is very convenient for interactive data mining and rapid prototyping of analytics models:

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Python Data Mining Quick Start Guide
Published in: Apr 2019 Publisher: Packt ISBN-13: 9781789800265
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