By Kurt W. Smith
Build software program that mixes Python's expressivity with the functionality and regulate of C (and C++). It's attainable with Cython, the compiler and hybrid programming language utilized by foundational programs equivalent to NumPy, and admired in tasks together with Pandas, h5py, and scikits-learn. during this useful consultant, you'll how to use Cython to enhance Python's performance—up to 3000x— and to wrap C and C++ libraries in Python with ease.
Author Kurt Smith takes you thru Cython's services, with pattern code and in-depth perform workouts. If you're simply beginning with Cython, or are looking to pass deeper, you'll learn the way this language is a necessary a part of any performance-oriented Python programmer's arsenal.
• Use Cython's static typing to hurry up Python code
• achieve hands-on event utilizing Cython beneficial properties to spice up your numeric-heavy Python
• Create new varieties with Cython—and see how briskly object-oriented programming in Python can be
• successfully manage Cython code into separate modules and applications with no sacrificing performance
• Use Cython to provide Pythonic interfaces to C and C++ libraries
• Optimize code with Cython's runtime and compile-time profiling tools
• Use Cython's prange functionality to parallelize loops transparently with OpenMP
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Additional info for Cython: A Guide of Python Programmers
Whichever method you follow, they will all lead to CherryPy being available on your system. We will then review how CherryPy handles errors and exceptions and how you can benefit from it. By the end of this chapter you will have a good overview of the CherryPy library; however, it is likely you will need to come back to this chapter during the rest of the book in order to fully appreciate it. Vocabulary In order to avoid misunderstandings, we need to define a few key words that will be used throughout this book.
You need to branch from the main trunk in order to try and see a feature, a new design, or simply backport bug fixing in a previous release. Please refer to its documentation for more information. Note that this directory does not matter as long as it is reachable by the Python process via PYTHONPATH or the standard sys module. Testing your Installation Whichever way you decide to install and deploy CherryPy in your environment, you must be able to import it from the Python shell as follows: If you do not install CherryPy globally to your Python environment, do not forget to set the environment variable, else you will get an error as follows: Keeping CherryPy Up to Date Updating or upgrading CherryPy will depend on the approach you have taken to install it.
On the other hand if the settings are to be amendable by the administrator of the application, using an INI file may facilitate that task. Remember that if you configure parts of your application such as we do to serve the stylesheet in our Note application, you must make a call to . The last way of configuring your application is by using the attribute on your page handler or as a class attribute of the class containing the page handlers, in which case the configuration will prevail for all page handlers.