Book Image

NumPy Beginner's Guide - Second Edition

By : Ivan Idris
Book Image

NumPy Beginner's Guide - Second Edition

By: Ivan Idris

Overview of this book

NumPy is an extension to, and the fundamental package for scientific computing with Python. In today's world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy Beginner's Guide will teach you about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, is free and open source. Write readable, efficient, and fast code, which is as close to the language of mathematics as is currently possible with the cutting edge open source NumPy software library. Learn all the ins and outs of NumPy that requires you to know basic Python only. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.You will learn about installing and using NumPy and related concepts. At the end of the book we will explore some related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Through examples, you will also learn about plotting with Matplotlib and the related SciPy project. NumPy Beginner's Guide will help you be productive with NumPy and have you writing clean and fast code in no time at all.
Table of Contents (19 chapters)
Numpy Beginner's Guide Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Time for action – decorating tests


We will apply the setastest decorator directly to test functions. Then we will apply the same decorator to a method to disable it. Also we will skip one of the tests and fail another. First we will install nose in case you don't have it yet.

  1. Install nose with setuptools

    easy_install nose

    Or pip:

    pip install nose
  2. We will apply one function as being a test and another as not being a test.

    @setastest(False)
    def test_false():
      pass
    
    @setastest(True)
    def test_true():
      pass
  3. We can skip tests with the skipif decorator. Let's use a condition that always leads to a test being skipped.

    @skipif(True)
    def test_skip():
      pass
  4. Add a test function that always passes. Then decorate it with the knownfailureif decorator so that the test always fails.

    @knownfailureif(True)
    def test_alwaysfail():
        pass
  5. We will define some test classes with methods that normally should be executed by nose.

    class TestClass():
      def test_true2(self):
        pass
    
    class TestClass2():
      def test_false2...