![]() Anaconda is a good choice for those focused on creating non-commercial data science applications since you can take advantage of Anaconda’s proven Python ecosystem for free.Since ActiveState provides commercial support, ActivePython is the best choice for those focused on building commercial applications.These kinds of “batteries included” Python environments provide everything you need to get started coding right away. New to Python? We’d recommend starting with a pre-built version of Python such as those offered by ActivePython or Anaconda in order to simplify and speed setup. For the time being, dependency resolution will still need to be managed manually. Additionally, these vendors enhance Python with their own ecosystem, which can often make Python easier to deploy, build and manage.Įxperienced Pythonistas will likely prefer to use ’s Python core, and then manually install all the packages they require from PyPI using pip. Foremost among these vendors are Anaconda and ActiveState. To simplify and speed project startup, a number of commercial vendors package together a version of the Python core with hundreds of the most popular packages from PyPI. Typically, developers download the Python core for the most recent release of the language from, and then source any third party packages, libraries and components they may require for their project from the Python Package Index (PyPI). The first choice for many is, the home of the Python Software Foundation, which is the body responsible for creating and releasing new versions of Python. When it comes to installing Python, developers have a number of choices, all of which are suitable for developing a wide range of applications. ![]() Not sure whether you should download Anaconda, ActivePython or community Python for your next Python project? While they’re all good, depending on how you work, one may be more appropriate than the others.
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