![]() Buildout is popular in the Zope community because it has a lot of features that help you manage all aspects of a deployment, but it can be rather complicated. It is highly recommended you install Pylons this way if it’s your first time using it.Ī number of tools are available in the Python community for creating a virtual Python environment, but the two most popular are Buildout and virtualenv.py. You can also create a virtual Python environment and install software to it without requiring root or administrator privileges, making it a very useful technique for installing Pylons in a shared environment. Setting Up a Virtual Python Environment ¶Ī virtual Python environment is an isolated Python installation set up in such a way that the libraries it contains do not affect programs outside it, making it a good choice for experimenting with new packages or deploying different programs with conflicting library requirements. Once you have a thorough understanding of the install processes used by Pylons, you’ll turn your attention to Python itself and look at any subtleties you need to be aware of on your particular platform, including how to install packages that include C and C++ extensions. In this chapter, you’ll look at what a virtual Python environment is before turning your attention to the Python Package Index and the easy_install program. You can install Pylons in quite a few different ways depending on your needs, but the three main tools most Pylons developers use are as follows: Because Python is an interpreted language, Pylons applications you write for one platform will be able to run on other platforms without any modification. It can therefore be used on Windows, Mac OS X, Linux, BSD, and many other platforms. Pylons is written in the Python language and is designed to run on any platform that supports a modern version of Python.
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