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Learning Data Mining with Python

Learning Data Mining with Python

By : Robert Layton
3.7 (7)
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Learning Data Mining with Python

Learning Data Mining with Python

3.7 (7)
By: Robert Layton

Overview of this book

If you are a programmer who wants to get started with data mining, then this book is for you.
Table of Contents (15 chapters)
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14
Index

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.

The most important is code. Code that you need to enter is displayed separate from the text, in a box like this one:

if True:
    print("Welcome to the book")

Keep a careful eye on indentation. Python cares about how much lines are indented. In this book, I've used four spaces for indentation. You can use a different number (or tabs), but you need to be consistent. If you get a bit lost counting indentation levels, reference the code bundle that comes with the book.

Where I refer to code in text, I'll use this format. You don't need to type this in your IPython Notebooks, unless the text specifically states otherwise.

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

# cp file1.txt file2.txt

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Click on the Export link."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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Learning Data Mining with Python
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