Book Image

Mastering Python Data Visualization

Book Image

Mastering Python Data Visualization

Overview of this book

Table of Contents (16 chapters)
Mastering Python Data Visualization
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

The IDE tools in Python


Analyzing and visualizing data requires several software tools: a text editor to write code (preferably the syntax highlight), additional tools and libraries to run and test the code, and perhaps another set of tools to present the results. There are many advantages of an IDE. Some notable ones are as follows:

  • The syntax highlight (showing errors or warnings right away)

  • Stepping through code in the debug mode

  • The interactive console

  • Integration with the interactive graphic notebook (such as IPython)

Python 3.x versus Python 2.7

Python 3.x is not backward compatible with the 2.x version. This is why Python 2.7 is still being used. In this book, we will use Python 2.7 and try not to focus on Python 3.x. This issue is beyond the scope of this book, and we recommend that you search for information about how to write code that works with different versions. Some IDE tools have specific instructions to use both these versions. In some cases, the code may have to be written a...