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Python packages installed by the python setup.py install command Ĭustom Python packages, that actually do not need to be installed but only copied in the DSS Python libraries folder.
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If you have Python 2 >2.7.9 or Python 3 >3.4 installed from, you will already have pip and setuptools, but will need to upgrade to the latest version: On Linux or macOS: pip install -U pip setuptools. The additional Python packages installed by DATA_DIR/bin/pip or added to DATA_DIR/lib/python are preserved by DSS upgrades. The best and recommended way to install Python modules is to use pip, the Python package manager. We upgrade these dependencies of DSS when releasing a new version, after they are properly qualified and we made sure everything works together. Notably, you must not change the version of the pandas, numpy and scikit-learn packages in the built-in environment. Modifying the version of these packages is not supported and may result in causing DSS to stop functioning.
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If you require another version of Python, please use a code environment.Ī number of packages are preinstalled in the built-in environment. The built-in Python environment uses Python 2.7, 3.6 or 3.7, as chosen at installation time. ROS executables are installed in a per-package. Importantly, this implies that in order to install packages in the built-in environment, you must NOT use the pip or python commands of your system, but use the pip or python commands of the DSS virtualenv. txt to install executable scripts and to export modules so they can be imported in other ROS packages. The built-in Python environment uses the Python virtualenv mechanism. Please pay attention to the following notes: