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: "When inspecting the linear model, first check the coef_ attribute."

A block of code is set as follows:

from sklearn import datasets
iris = datasets.load_iris()

Since we will be using Jupyter Notebooks along most of the examples, expect to have always an input (marked as In:) and often an output (marked Out:) from the cell containing the block of code. On your computer you have just to input the code after the In: and check if results correspond to the Out: content:

In: clf.fit(X, y)
Out: SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, degree=3, gamma=0.0, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False)

When a command should be given in the terminal command line, you'll find the command with the prefix $>, otherwise, if it's for the Python REPL it will be preceded by >>>:

$>python
>>> import sys
>>> print sys.version_info

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: "As a rule, you just have to type the code after In: in your cells and run it."