Book Image

NumPy Cookbook

Book Image

NumPy Cookbook

Overview of this book

Today's world of science and technology is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy will give you both speed and high productivity. "NumPy Cookbook" will teach you all about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, it is free and open source. "Numpy Cookbook" will teach you to write readable, efficient, and fast code that is as close to the language of Mathematics as much as possible with the cutting edge open source NumPy software library. You will learn about installing and using NumPy and related concepts. At the end of the book, we will explore related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project through examples. "NumPy Cookbook" will help you to be productive with NumPy and write clean and fast code.
Table of Contents (17 chapters)
NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Analyzing code with Pylint


Pylint is another open source static analyzer originally created by Logilab. Pylint is more complex than Pyflakes; it allows more customization. However, it is slower than Pyflakes. For more information check out http://www.logilab.org/card/pylint_manual.

In this recipe, we will again download the NumPy code from the Git repository—this step is omitted for brevity.

Getting ready

You can install Pylint from the source distribution. However, there are many dependencies, so you are better off installing with either easy_install, or pip. The installation commands are as follows:

easy_install pylint
sudo pip install pylint

How to do it...

We will again analyze from the top directory of the NumPy codebase. Please notice that we are getting much more output. In fact, Pylint prints so much text that most of it had to be cut out here:

pylint *.py
$ pylint *.py
No config file found, using default configuration
************* Module pavement
C: 60: Line too long (81/80)
C:139...