![]() ![]() PATH/TO/dataiku-dss-VERSION/installer.sh -d DATA_DIR -p PORT -P /usr/local/bin/python3.6 # Error: Python 3.9 is not supported for the builtin Python environment # (it can be used for managed code environments though) # Use a specific version of Python 3.6 installed on the host # It may be necessary to add '-n' to skip the dependency check for the system-default Python 3.6 PATH/TO/dataiku-dss-VERSION/installer.sh -d DATA_DIR -p PORT -P python2.7 PATH/TO/dataiku-dss-VERSION/installer.sh -d DATA_DIR -p PORT These can be built with different versions of Python, and different sets of installed packages. In addition to this builtin environment, DSS can dynamically build and manage multiple additional Python environments, to run user-provided Python code. See Initial setup of the builtin Python environment. ![]() The builtin environment may be based on Python version 2.7, 3.6 or 3.7, to be chosen at installation time. These are setup by the DSS installerĪnd updated accordingly on DSS upgrades. This builtin Python environment comes with a default set of packages, suitable for this version of DSS. To run all Python-based internal DSS operations, and is also used as a default environment to run user-provided Python code. The DSS installation phase creates an initial “builtin” Python environment, which is used Using Anaconda Python for the builtin environmentĭSS comes with native Python integration. Rebuilding the builtin Python environmentĪdvanced: using a fully custom Python environment Initial setup of the builtin Python environmentĬhoosing the version of Python for the builtin environment Setting up DSS item exports to PDF or images.Using Anaconda Python for the builtin environment.Advanced: using a fully custom Python environment. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |