Python Dependency Manager Companion

=================================== Improving interoperability with pip =================================== The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still experimental and is therefore off by default. With this interoperability, conda can use pip-installed packages to satisfy dependencies, cleanly remove pip-installed software, and replace them with conda packages when appropriate. If you’d like to try the feature, you can set this ``.condarc`` setting:: conda config --set prefix_data_interoperability True .. note:: Setting ``prefix_data_interoperability`` to ``True`` may slow down conda. Even without activating this feature, conda now understands pip metadata more intelligently. For example, if we create an environment with conda:: conda create -y -n some_pip_test python=3.7 imagesize=1.0 Then we update imagesize in that environment using pip:: conda activate some_pip_test pip install -U imagesize Prior to conda 4.6.0, the ``conda list`` command returned ambiguous results:: imagesize 1.1.0 imagesize 1.0.0 py37_0 Conda 4.6.0 now shows only one entry for imagesize (the newer pip entry):: imagesize 1.1.0 pypi_0 pypi