![]() 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. ![]() The additional Python packages installed by DATA_DIR/bin/pip or added to DATA_DIR/lib/python are preserved by DSS upgrades. 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. ![]() ![]() Ideally, you should only have one target Python version, as this is a deployment tool. Modifying the version of these packages is not supported and may result in causing DSS to stop functioning. Specify your target Python version in your Pipfile s requires section. If you want to install a specific version of the package, you can use the operator followed by the version number, like this: pip install packagenameversion. This will download and install the latest version of the package. If you require another version of Python, please use a code environment.Ī number of packages are preinstalled in the built-in environment. To install a package using pip, simply use the command pip install packagename in your terminal or command prompt. The built-in Python environment uses Python 2.7, 3.6 or 3.7, as chosen at installation time. 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. The built-in Python environment uses the Python virtualenv mechanism. Please pay attention to the following notes: API Node & API Deployer: Real-time APIs.Automation scenarios, metrics, and checks.Installing a “python setup.py install” package.Installing in the built-in DSS environment (not recommended).Installing in a specific code environment (recommended).
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