Therefore, dependency management can sometimes get quite tricky or challenging and needs to be handled properly in order to avoid issues when installing or even enhancing the package. In this case, this project has a dependency on pandas package since it cannot work properly without pre-installing pandas.Įvery dependency - which is in turn a Python package on its own - may also have other dependencies. In the context of Python, these dependencies are usually found on the Python Package Index (PyPI) or in other repository management tools, such as Nexus.Īs an example, let’s consider a Python project that makes use of pandas DataFrames. In very simple terms, dependencies are external Python packages that your own project relies onto, in order to do the job is intended to. First, let’s start our discussion with package dependencies what they really are and why it’s important to manage them properly in order for your Python project to be maintained easier.
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