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NumPy Cookbook

You're reading from   NumPy Cookbook If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.

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Product type Paperback
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Length 226 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts FREE CHAPTER 3. Get to Grips with Commonly Used Functions 4. Connecting NumPy with the Rest of the World 5. Audio and Image Processing 6. Special Arrays and Universal Functions 7. Profiling and Debugging 8. Quality Assurance 9. Speed Up Code with Cython 10. Fun with Scikits Index

Building a Hello World program


As is the tradition with programming languages, we will start with a Hello World example. Unlike with Python, we need to compile Cython code. We start with a .pyx file, from which we will generate C code. This .c file can be compiled and then imported into a Python program.

How to do it...

This section describes how to build a Cython Hello World program.

  1. Write the hello.pyx code.

    First, we will write some pretty trivial code that prints "Hello World". This is just normal Python code, but the file has the pyx extension.

    def say_hello():
    print "Hello World!"
  2. Write a distutils setup.py script.

    We need to create a file named setup.py to help us build the Cython code.

    from distutils.core import setup
    from distutils.extension import Extension
    from Cython.Distutils import build_ext
    
    ext_modules = [Extension("hello", ["hello.pyx"])]
    
    setup(
            name = 'Hello world app',
            cmdclass = {'build_ext': build_ext},
            ext_modules = ext_modules
         )

    As you can...

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