Handling project dependencies with pip
The pip is the most convenient tool to install and manage Python packages. Besides installing the packages one by one, it is possible to define a list of packages that you want to install and pass it to the tool so that it deals with the list automatically.
You will need to have at least two different instances of your project: the development environment, where you create new features, and the public website environment that is usually called the production environment in a hosted server. Additionally, there might be development environments for other developers. Also, you may have a testing and staging environment in order to test the project locally and in a public website-like situation.
For good maintainability, ...
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